def test_if_statement(self):
self.log.info('test_if_statement_x')
shots = 100
max_qubits = 3
qp = QuantumProgram()
qr = qp.create_quantum_register('qr', max_qubits)
cr = qp.create_classical_register('cr', max_qubits)
circuit = qp.create_circuit('test_if', [qr], [cr])
circuit.x(qr[0])
circuit.x(qr[1])
circuit.measure(qr[0], cr[0])
circuit.measure(qr[1], cr[1])
circuit.x(qr[2]).c_if(cr, 0x3)
circuit.measure(qr[0], cr[0])
circuit.measure(qr[1], cr[1])
circuit.measure(qr[2], cr[2])
circuit2 = qp.create_circuit('test_if_case_2', [qr], [cr])
circuit2.x(qr[0])
circuit2.measure(qr[0], cr[0])
circuit2.measure(qr[1], cr[1])
circuit2.x(qr[2]).c_if(cr, 0x3)
circuit2.measure(qr[0], cr[0])
circuit2.measure(qr[1], cr[1])
circuit2.measure(qr[2], cr[2])
basis_gates = [] # unroll to base gates
unroller = unroll.Unroller(
qasm.Qasm(data=qp.get_qasm('test_if')).parse(),
unroll.JsonBackend(basis_gates))
ucircuit = unroller.execute()
unroller = unroll.Unroller(
qasm.Qasm(data=qp.get_qasm('test_if_case_2')).parse(),
unroll.JsonBackend(basis_gates))
ucircuit2 = unroller.execute()
config = {'shots': shots, 'seed': self.seed}
job = {'compiled_circuit': ucircuit, 'config': config}
result_if_true = QasmSimulator(job).run()
job = {'compiled_circuit': ucircuit2, 'config': config}
result_if_false = QasmSimulator(job).run()
self.log.info('result_if_true circuit:')
self.log.info(circuit.qasm())
self.log.info('result_if_true={0}'.format(result_if_true))
del circuit.data[1]
self.log.info('result_if_false circuit:')
self.log.info(circuit.qasm())
self.log.info('result_if_false={0}'.format(result_if_false))
self.assertTrue(result_if_true['data']['counts']['111'] == 100)
self.assertTrue(result_if_false['data']['counts']['001'] == 100)
def test_if_statement(self):
self.log.info('test_if_statement_x')
shots = 100
max_qubits = 3
qp = QuantumProgram()
qr = qp.create_quantum_register('qr', max_qubits)
cr = qp.create_classical_register('cr', max_qubits)
circuit = qp.create_circuit('test_if', [qr], [cr])
circuit.x(qr[0])
circuit.x(qr[1])
circuit.measure(qr[0], cr[0])
circuit.measure(qr[1], cr[1])
circuit.x(qr[2]).c_if(cr, 0x3)
circuit.measure(qr[0], cr[0])
circuit.measure(qr[1], cr[1])
circuit.measure(qr[2], cr[2])
circuit2 = qp.create_circuit('test_if_case_2', [qr], [cr])
circuit2.x(qr[0])
circuit2.measure(qr[0], cr[0])
circuit2.measure(qr[1], cr[1])
circuit2.x(qr[2]).c_if(cr, 0x3)
circuit2.measure(qr[0], cr[0])
circuit2.measure(qr[1], cr[1])
circuit2.measure(qr[2], cr[2])
basis_gates = [] # unroll to base gates
unroller = unroll.Unroller(
qasm.Qasm(data=qp.get_qasm('test_if')).parse(),
unroll.JsonBackend(basis_gates))
ucircuit = unroller.execute()
unroller = unroll.Unroller(
qasm.Qasm(data=qp.get_qasm('test_if_case_2')).parse(),
unroll.JsonBackend(basis_gates))
ucircuit2 = unroller.execute()
config = {'shots': shots, 'seed': self.seed}
job = {'compiled_circuit': ucircuit, 'config': config}
result_if_true = QasmSimulator(job).run()
job = {'compiled_circuit': ucircuit2, 'config': config}
result_if_false = QasmSimulator(job).run()
self.log.info('result_if_true circuit:')
self.log.info(circuit.qasm())
self.log.info('result_if_true={0}'.format(result_if_true))
del circuit.data[1]
self.log.info('result_if_false circuit:')
self.log.info(circuit.qasm())
self.log.info('result_if_false={0}'.format(result_if_false))
self.assertTrue(result_if_true['data']['counts']['111'] == 100)
self.assertTrue(result_if_false['data']['counts']['001'] == 100)
def use_sympy_backends():
qprogram = QuantumProgram()
current_dir = os.path.dirname(os.path.realpath(__file__))
qasm_file = current_dir + "/../qasm/simple.qasm"
qasm_circuit = qprogram.load_qasm_file(qasm_file)
print("analyzing: " + qasm_file)
print(qprogram.get_qasm(qasm_circuit))
# sympy statevector simulator
backend = 'local_sympy_qasm_simulator'
result = qprogram.execute([qasm_circuit],
backend=backend,
shots=1,
timeout=300)
print("final quantum amplitude vector: ")
print(result.get_data(qasm_circuit)['quantum_state'])
# sympy unitary simulator
backend = 'local_sympy_unitary_simulator'
result = qprogram.execute([qasm_circuit],
backend=backend,
shots=1,
timeout=300)
print("\nunitary matrix of the circuit: ")
print(result.get_data(qasm_circuit)['unitary'])
def twoBitsAdder():
Circuit = 'twoBitsAdderCircuit'
# Create the quantum program
qp = QuantumProgram()
# Creating registers
n_qubits = 8
qr = qp.create_quantum_register("qr", n_qubits)
cr = qp.create_classical_register("cr", n_qubits)
# Two-bits adder circuit, where:
# qr[0|1] and qr[2|3] are adders
# qr[4-5] are the result
# qr[6] is the carry_out
# qr[7] is the temp reg
obc = qp.create_circuit(Circuit, [qr], [cr])
# Prepare bits to add
obc.h(qr[0])
obc.h(qr[1])
obc.h(qr[2])
obc.h(qr[3])
# The low-bit result in qr[4]
obc.cx(qr[0], qr[4])
obc.cx(qr[2], qr[4])
# The carry in temp reg
obc.ccx(qr[0], qr[2], qr[7])
# The high-bit result in qr[5]
obc.cx(qr[1], qr[5])
obc.cx(qr[3], qr[5])
obc.cx(qr[7], qr[5])
# The carry_out in qr[6]
obc.ccx(qr[1], qr[3], qr[6])
obc.ccx(qr[1], qr[7], qr[6])
obc.ccx(qr[3], qr[7], qr[6])
# Measure
for i in range(0, n_qubits):
obc.measure(qr[i], cr[i])
# Get qasm source
source = qp.get_qasm(Circuit)
print(source)
# Compile and run
backend = 'local_qasm_simulator'
circuits = [Circuit] # Group of circuits to execute
qobj = qp.compile(circuits, backend) # Compile your program
result = qp.run(qobj, wait=2, timeout=240)
print(result)
results = result.get_counts(Circuit)
print(results)
validate(results)
def test_get_qasm_all_gates(self):
"""Test the get_qasm for more gates.
If all correct the qasm output should be of a certain lenght
Previusly:
Libraries:
from qiskit import QuantumProgram
"""
QP_program = QuantumProgram(specs=QPS_SPECS)
qc = QP_program.get_circuit("circuitName")
qr = QP_program.get_quantum_register("qname")
cr = QP_program.get_classical_register("cname")
qc.u1(0.3, qr[0])
qc.u2(0.2, 0.1, qr[1])
qc.u3(0.3, 0.2, 0.1, qr[2])
qc.s(qr[1])
qc.s(qr[2]).inverse()
qc.cx(qr[1], qr[2])
qc.barrier()
qc.cx(qr[0], qr[1])
qc.h(qr[0])
qc.x(qr[2]).c_if(cr, 0)
qc.y(qr[2]).c_if(cr, 1)
qc.z(qr[2]).c_if(cr, 2)
qc.barrier(qr)
qc.measure(qr[0], cr[0])
qc.measure(qr[1], cr[1])
qc.measure(qr[2], cr[2])
result = QP_program.get_qasm('circuitName')
self.assertEqual(len(result), 535)
def test_compile_coupling_map(self):
"""Test compile_coupling_map.
If all correct should return data with the same stats. The circuit may
be different.
"""
QP_program = QuantumProgram()
q = QP_program.create_quantum_register("q", 3, verbose=False)
c = QP_program.create_classical_register("c", 3, verbose=False)
qc = QP_program.create_circuit("circuitName", [q], [c])
qc.h(q[0])
qc.cx(q[0], q[1])
qc.cx(q[0], q[2])
qc.measure(q[0], c[0])
qc.measure(q[1], c[1])
qc.measure(q[2], c[2])
backend = 'local_qasm_simulator' # the backend to run on
shots = 1024 # the number of shots in the experiment.
coupling_map = {0: [1], 1: [2]}
initial_layout = {("q", 0): ("q", 0), ("q", 1): ("q", 1),
("q", 2): ("q", 2)}
circuits = ["circuitName"]
qobj = QP_program.compile(circuits, backend=backend, shots=shots,
coupling_map=coupling_map,
initial_layout=initial_layout, seed=88)
result = QP_program.run(qobj)
to_check = QP_program.get_qasm("circuitName")
self.assertEqual(len(to_check), 160)
self.assertEqual(result.get_counts("circuitName"),
{'000': 518, '111': 506})
def test_compile_coupling_map(self):
"""Test compile_coupling_map.
If all correct should return data with the same stats. The circuit may
be different.
"""
QP_program = QuantumProgram()
q = QP_program.create_quantum_register("q", 3, verbose=False)
c = QP_program.create_classical_register("c", 3, verbose=False)
qc = QP_program.create_circuit("circuitName", [q], [c])
qc.h(q[0])
qc.cx(q[0], q[1])
qc.cx(q[0], q[2])
qc.measure(q[0], c[0])
qc.measure(q[1], c[1])
qc.measure(q[2], c[2])
backend = 'local_qasm_simulator' # the backend to run on
shots = 1024 # the number of shots in the experiment.
coupling_map = {0: [1], 1: [2]}
initial_layout = {("q", 0): ("q", 0), ("q", 1): ("q", 1),
("q", 2): ("q", 2)}
circuits = ["circuitName"]
qobj = QP_program.compile(circuits, backend=backend, shots=shots,
coupling_map=coupling_map,
initial_layout=initial_layout, seed=88)
result = QP_program.run(qobj)
to_check = QP_program.get_qasm("circuitName")
self.assertEqual(len(to_check), 160)
self.assertEqual(result.get_counts("circuitName"),
{'000': 518, '111': 506})
def test_get_qasm_all_gates(self):
"""Test the get_qasm for more gates.
If all correct the qasm output should be of a certain lenght
Previusly:
Libraries:
from qiskit import QuantumProgram
"""
QP_program = QuantumProgram(specs=QPS_SPECS)
qc = QP_program.get_circuit("circuitName")
qr = QP_program.get_quantum_register("qname")
cr = QP_program.get_classical_register("cname")
qc.u1(0.3, qr[0])
qc.u2(0.2, 0.1, qr[1])
qc.u3(0.3, 0.2, 0.1, qr[2])
qc.s(qr[1])
qc.s(qr[2]).inverse()
qc.cx(qr[1], qr[2])
qc.barrier()
qc.cx(qr[0], qr[1])
qc.h(qr[0])
qc.x(qr[2]).c_if(cr, 0)
qc.y(qr[2]).c_if(cr, 1)
qc.z(qr[2]).c_if(cr, 2)
qc.barrier(qr)
qc.measure(qr[0], cr[0])
qc.measure(qr[1], cr[1])
qc.measure(qr[2], cr[2])
result = QP_program.get_qasm('circuitName')
self.assertEqual(len(result), 535)
def test_get_qasm_all_gates(self):
"""Test the get_qasm for more gates, using an specification without names.
"""
q_program = QuantumProgram(specs=self.qps_specs_nonames)
qc = q_program.get_circuit()
qr = q_program.get_quantum_register()
cr = q_program.get_classical_register()
qc.u1(0.3, qr[0])
qc.u2(0.2, 0.1, qr[1])
qc.u3(0.3, 0.2, 0.1, qr[2])
qc.s(qr[1])
qc.s(qr[2]).inverse()
qc.cx(qr[1], qr[2])
qc.barrier()
qc.cx(qr[0], qr[1])
qc.h(qr[0])
qc.x(qr[2]).c_if(cr, 0)
qc.y(qr[2]).c_if(cr, 1)
qc.z(qr[2]).c_if(cr, 2)
qc.barrier(qr)
qc.measure(qr[0], cr[0])
qc.measure(qr[1], cr[1])
qc.measure(qr[2], cr[2])
result = q_program.get_qasm()
self.assertEqual(len(result),
(len(qr.name) * 23 + len(cr.name) * 7 + 385))
def test_get_qasm_all_gates(self):
"""Test the get_qasm for more gates, using an specification without names.
"""
q_program = QuantumProgram(specs=self.QPS_SPECS_NONAMES)
qc = q_program.get_circuit()
qr = q_program.get_quantum_register()
cr = q_program.get_classical_register()
qc.u1(0.3, qr[0])
qc.u2(0.2, 0.1, qr[1])
qc.u3(0.3, 0.2, 0.1, qr[2])
qc.s(qr[1])
qc.s(qr[2]).inverse()
qc.cx(qr[1], qr[2])
qc.barrier()
qc.cx(qr[0], qr[1])
qc.h(qr[0])
qc.x(qr[2]).c_if(cr, 0)
qc.y(qr[2]).c_if(cr, 1)
qc.z(qr[2]).c_if(cr, 2)
qc.barrier(qr)
qc.measure(qr[0], cr[0])
qc.measure(qr[1], cr[1])
qc.measure(qr[2], cr[2])
result = q_program.get_qasm()
self.assertEqual(len(result), (len(qr.name) * 23 +
len(cr.name) * 7 +
385))
def test_json_output(self):
qp = QuantumProgram()
qp.load_qasm_file(self.QASM_FILE_PATH, name="example")
basis_gates = [] # unroll to base gates, change to test
unroller = unroll.Unroller(qasm.Qasm(data=qp.get_qasm("example")).parse(),
unroll.JsonBackend(basis_gates))
circuit = unroller.execute()
self.log.info('test_json_ouptut: %s', circuit)
def test_json_output(self):
qprogram = QuantumProgram()
qprogram.load_qasm_file(self.qasm_file_path, name="example")
basis_gates = [] # unroll to base gates, change to test
unroller = unroll.Unroller(qasm.Qasm(data=qprogram.get_qasm("example")).parse(),
unroll.JsonBackend(basis_gates))
circuit = unroller.execute()
self.log.info('test_json_ouptut: %s', circuit)
def test_print_program(self):
QP_program = QuantumProgram(specs=QPS_SPECS)
qc = QP_program.get_circuit("circuitName")
qr = QP_program.get_quantum_registers("qname")
cr = QP_program.get_classical_registers("cname")
qc.h(qr[1])
result = QP_program.get_qasm("circuitName")
self.assertEqual(len(result), 78)
def test_load(self):
"""
Load a Json Quantum Program
"""
QP_program = QuantumProgram(specs=QPS_SPECS)
result = QP_program.load("./test/python/test_load.json")
self.assertEqual(result['status'], 'Done')
check_result = QP_program.get_qasm('circuitName')
self.assertEqual(len(check_result), 1872)
def test_load(self):
"""
Load a Json Quantum Program
"""
QP_program = QuantumProgram(specs=QPS_SPECS)
result = QP_program.load("./test/python/test_load.json")
self.assertEqual(result['status'], 'Done')
check_result = QP_program.get_qasm('circuitName')
self.assertEqual(len(check_result), 1872)
def test_json_output(self):
seed = 88
qp = QuantumProgram()
qp.load_qasm_file(self.QASM_FILE_PATH, name="example")
basis_gates = [] # unroll to base gates, change to test
unroller = unroll.Unroller(
qasm.Qasm(data=qp.get_qasm("example")).parse(),
unroll.JsonBackend(basis_gates))
circuit = unroller.execute()
logging.info('test_json_ouptut: {0}'.format(circuit))
class LocalQasmSimulatorTest(QiskitTestCase):
"""Test local qasm simulator."""
def setUp(self):
self.seed = 88
self.qasm_filename = self._get_resource_path('qasm/simple.qasm')
self.qp = QuantumProgram()
self.qp.load_qasm_file(self.qasm_filename, name='example')
basis_gates = [] # unroll to base gates
unroller = unroll.Unroller(
qasm.Qasm(data=self.qp.get_qasm('example')).parse(),
unroll.JsonBackend(basis_gates))
circuit = unroller.execute()
circuit_config = {
'coupling_map': None,
'basis_gates': 'u1,u2,u3,cx,id',
'layout': None,
'seed': self.seed
}
resources = {'max_credits': 3, 'wait': 5, 'timeout': 120}
self.qobj = {
'id':
'test_sim_single_shot',
'config': {
'max_credits': resources['max_credits'],
'shots': 1024,
'backend': 'local_sympy_qasm_simulator',
},
'circuits': [{
'name': 'test',
'compiled_circuit': circuit,
'compiled_circuit_qasm': None,
'config': circuit_config
}]
}
self.q_job = QuantumJob(self.qobj,
backend='local_sympy_qasm_simulator',
circuit_config=circuit_config,
seed=self.seed,
resources=resources,
preformatted=True)
def test_qasm_simulator(self):
"""Test data counts output for single circuit run against reference."""
result = SympyQasmSimulator().run(self.q_job)
actual = result.get_data('test')['quantum_state']
self.assertEqual(result.get_status(), 'COMPLETED')
self.assertEqual(actual[0], sqrt(2) / 2)
self.assertEqual(actual[1], 0)
self.assertEqual(actual[2], 0)
self.assertEqual(actual[3], sqrt(2) / 2)
def oneBitAdder():
from qiskit import QuantumProgram
Circuit = 'oneBitAdderCircuit'
# Create the quantum program
qp = QuantumProgram()
# Creating registers
n_qubits = 4
qr = qp.create_quantum_register("qr", n_qubits)
cr = qp.create_classical_register("cr", n_qubits)
# One-bit adder circuit, where:
# qr[2] = qr[0] + qr[1]
# qr[3] = carry
obc = qp.create_circuit(Circuit, [qr], [cr])
# Prepare bits to add
obc.h(qr[0])
obc.h(qr[1])
# qr[2] = 1 when qr0/1 has only one 1;
# = 0 when qr0/1 are both 0 or 1;
obc.cx(qr[0], qr[2])
obc.cx(qr[1], qr[2])
# qr[3] = 1 when qr0/1 are both 1;
# = 0 otherwise;
obc.ccx(qr[0], qr[1], qr[3])
# Measure
for i in range(0, n_qubits):
obc.measure(qr[i], cr[i])
# Get qasm source
source = qp.get_qasm(Circuit)
print(source)
# Compile and run
backend = 'local_qasm_simulator'
circuits = [Circuit] # Group of circuits to execute
qobj = qp.compile(circuits, backend) # Compile your program
result = qp.run(qobj, wait=2, timeout=240)
print(result)
results = result.get_counts(Circuit)
print(results)
validate(results)
class StatevectorSimulatorSympyTest(QiskitTestCase):
"""Test local statevector simulator."""
def setUp(self):
self.qasm_filename = self._get_resource_path('qasm/simple.qasm')
self.qp = QuantumProgram()
self.qp.load_qasm_file(self.qasm_filename, name='example')
basis_gates = [] # unroll to base gates
unroller = unroll.Unroller(
qasm.Qasm(data=self.qp.get_qasm('example')).parse(),
unroll.JsonBackend(basis_gates))
circuit = unroller.execute()
circuit_config = {'coupling_map': None,
'basis_gates': 'u1,u2,u3,cx,id',
'layout': None}
resources = {'max_credits': 3}
self.qobj = {'id': 'test_sim_single_shot',
'config': {
'max_credits': resources['max_credits'],
'shots': 1024,
'backend_name': 'local_statevector_simulator_sympy',
},
'circuits': [
{
'name': 'test',
'compiled_circuit': circuit,
'compiled_circuit_qasm': None,
'config': circuit_config
}
]}
self.q_job = QuantumJob(self.qobj,
backend=StatevectorSimulatorSympy(),
circuit_config=circuit_config,
resources=resources,
preformatted=True)
def test_statevector_simulator_sympy(self):
"""Test data counts output for single circuit run against reference."""
result = StatevectorSimulatorSympy().run(self.q_job).result()
actual = result.get_data('test')['statevector']
self.assertEqual(result.get_status(), 'COMPLETED')
self.assertEqual(actual[0], sqrt(2)/2)
self.assertEqual(actual[1], 0)
self.assertEqual(actual[2], 0)
self.assertEqual(actual[3], sqrt(2)/2)
def use_sympy_backends():
qprogram = QuantumProgram()
current_dir = os.path.dirname(os.path.realpath(__file__))
qasm_file = current_dir + "/../qasm/simple.qasm"
qasm_circuit = qprogram.load_qasm_file(qasm_file)
print("analyzing: " + qasm_file)
print(qprogram.get_qasm(qasm_circuit))
# sympy statevector simulator
backend = 'local_statevector_simulator_sympy'
result = qprogram.execute([qasm_circuit], backend=backend, shots=1, timeout=300)
print("final quantum amplitude vector: ")
print(result.get_data(qasm_circuit)['statevector'])
# sympy unitary simulator
backend = 'local_unitary_simulator_sympy'
result = qprogram.execute([qasm_circuit], backend=backend, shots=1, timeout=300)
print("\nunitary matrix of the circuit: ")
print(result.get_data(qasm_circuit)['unitary'])
def test_create_add_gates(self):
QP_program = QuantumProgram(specs=QPS_SPECS)
qc = QP_program.get_circuit("circuitName")
qr = QP_program.get_quantum_registers("qname")
cr = QP_program.get_classical_registers("cname")
qc.u3(0.3, 0.2, 0.1, qr[0])
qc.h(qr[1])
qc.cx(qr[1], qr[2])
qc.barrier()
qc.cx(qr[0], qr[1])
qc.h(qr[0])
qc.z(qr[2]).c_if(cr, 1)
qc.x(qr[2]).c_if(cr, 1)
qc.measure(qr[0], cr[0])
qc.measure(qr[1], cr[1])
result = QP_program.get_qasm('circuitName')
self.assertEqual(len(result), 348)
def test_get_qasm(self):
"""Test the get_qasm.
If all correct the qasm output should be of a certain lenght
Previusly:
Libraries:
from qiskit import QuantumProgram
"""
QP_program = QuantumProgram(specs=QPS_SPECS)
qc = QP_program.get_circuit("circuitName")
qr = QP_program.get_quantum_register("qname")
cr = QP_program.get_classical_register("cname")
qc.h(qr[0])
qc.cx(qr[0], qr[1])
qc.cx(qr[1], qr[2])
qc.measure(qr[0], cr[0])
qc.measure(qr[1], cr[1])
qc.measure(qr[2], cr[2])
result = QP_program.get_qasm("circuitName")
self.assertEqual(len(result), 212)
def test_get_qasm(self):
"""Test the get_qasm.
If all correct the qasm output should be of a certain lenght
Previusly:
Libraries:
from qiskit import QuantumProgram
"""
QP_program = QuantumProgram(specs=QPS_SPECS)
qc = QP_program.get_circuit("circuitName")
qr = QP_program.get_quantum_register("qname")
cr = QP_program.get_classical_register("cname")
qc.h(qr[0])
qc.cx(qr[0], qr[1])
qc.cx(qr[1], qr[2])
qc.measure(qr[0], cr[0])
qc.measure(qr[1], cr[1])
qc.measure(qr[2], cr[2])
result = QP_program.get_qasm("circuitName")
self.assertEqual(len(result), 212)
def test_get_qasm_noname(self):
"""Test the get_qasm using an specification without names.
"""
q_program = QuantumProgram(specs=self.QPS_SPECS_NONAMES)
qc = q_program.get_circuit()
qrn = list(q_program.get_quantum_register_names())
self.assertEqual(len(qrn), 1)
qr = q_program.get_quantum_register(qrn[0])
crn = list(q_program.get_classical_register_names())
self.assertEqual(len(crn), 1)
cr = q_program.get_classical_register(crn[0])
qc.h(qr[0])
qc.cx(qr[0], qr[1])
qc.cx(qr[1], qr[2])
qc.measure(qr[0], cr[0])
qc.measure(qr[1], cr[1])
qc.measure(qr[2], cr[2])
result = q_program.get_qasm()
self.assertEqual(len(result), len(qrn[0]) * 9 + len(crn[0]) * 4 + 147)
def execute(argv, verbose=False):
from qiskit import QuantumProgram
# Create the quantum program
qp = QuantumProgram()
# Load from filename
circuit = qp.load_qasm_file(filename)
# Get qasm source
source = qp.get_qasm(circuit)
if verbose:
print(source)
# Compile and run
backend = 'local_qasm_simulator'
qobj = qp.compile([circuit], backend) # Compile your program
result = qp.run(qobj, wait=2, timeout=240)
if verbose:
print(result)
print(result.get_counts(circuit))
def test_get_qasm_noname(self):
"""Test the get_qasm using an specification without names.
"""
q_program = QuantumProgram(specs=self.qps_specs_nonames)
qc = q_program.get_circuit()
qrn = list(q_program.get_quantum_register_names())
self.assertEqual(len(qrn), 1)
qr = q_program.get_quantum_register(qrn[0])
crn = list(q_program.get_classical_register_names())
self.assertEqual(len(crn), 1)
cr = q_program.get_classical_register(crn[0])
qc.h(qr[0])
qc.cx(qr[0], qr[1])
qc.cx(qr[1], qr[2])
qc.measure(qr[0], cr[0])
qc.measure(qr[1], cr[1])
qc.measure(qr[2], cr[2])
result = q_program.get_qasm()
self.assertEqual(len(result), len(qrn[0]) * 9 + len(crn[0]) * 4 + 147)
def main(M=16,
numberOfCoins=8,
indexOfFalseCoin=6,
backend="local_qasm_simulator",
shots=1):
if numberOfCoins < 4 or numberOfCoins >= M:
raise Exception("Please use numberOfCoins between 4 and ", M - 1)
if indexOfFalseCoin < 0 or indexOfFalseCoin >= numberOfCoins:
raise Exception("indexOfFalseCoin must be between 0 and ",
numberOfCoins - 1)
# ------- Query the quantum beam balance
Q_program = QuantumProgram()
Q_program.set_api(Qconfig.APItoken,
Qconfig.config["url"]) # set the APIToken and API url
# Create registers
# numberOfCoins qubits for the binary query string and 1 qubit for
# working and recording the result of quantum balance
qr = Q_program.create_quantum_register("qr", numberOfCoins + 1)
# for recording the measurement on qr
cr = Q_program.create_classical_register("cr", numberOfCoins + 1)
circuitName = "QueryStateCircuit"
circuit = Q_program.create_circuit(circuitName, [qr], [cr])
N = numberOfCoins
#Create uniform superposition of all strings of length N
for i in range(N):
circuit.h(qr[i])
#Perform XOR(x) by applying CNOT gates sequentially from qr[0] to qr[N-1] and storing the result to qr[N]
for i in range(N):
circuit.cx(qr[i], qr[N])
#Measure qr[N] and store the result to cr[N]. We continue if cr[N] is zero, or repeat otherwise
circuit.measure(qr[N], cr[N])
# we proceed to query the quantum beam balance if the value of cr[0]...cr[N] is all zero
# by preparing the Hadamard state of |1>, i.e., |0> - |1> at qr[N]
circuit.x(qr[N]).c_if(cr, 0)
circuit.h(qr[N]).c_if(cr, 0)
# we rewind the computation when cr[N] is not zero
for i in range(N):
circuit.h(qr[i]).c_if(cr, 2**N)
#----- Construct the quantum beam balance
k = indexOfFalseCoin
# Apply the quantum beam balance on the desired superposition state (marked by cr equal to zero)
circuit.cx(qr[k], qr[N]).c_if(cr, 0)
# --- Identify the false coin
# Apply Hadamard transform on qr[0] ... qr[N-1]
for i in range(N):
circuit.h(qr[i]).c_if(cr, 0)
# Measure qr[0] ... qr[N-1]
for i in range(N):
circuit.measure(qr[i], cr[i])
print(Q_program.get_qasm(circuitName))
results = Q_program.execute([circuitName], backend=backend, shots=shots)
answer = results.get_counts(circuitName)
print("Device " + backend + " counts " + str(answer))
#plot_histogram(answer)
for key in answer.keys():
normalFlag, _ = Counter(
key[1:]).most_common(1)[0] #get most common label
for i in range(2, len(key)):
if key[i] != normalFlag:
print("False coin index is: ", len(key) - i - 1)
def Grover():
if sys.version_info < (3, 5):
raise Exception('Please use Python version 3.5 or greater.')
#Create an object
qp = QuantumProgram()
backend = 'local_qasm_simulator'
# backend = 'ibmqx4'
max_credits = 15
QX_TOKEN = "ee6100e19629678494bd4c9f4f0f3dc3038fe389b08eee456b8a8be280e08884f6b6228825afa60dda60bf7ee5995ce9e5ae6473f31137a0e94780669bce9707"
QX_URL = "https://quantumexperience.ng.bluemix.net/api"
# Set up the API and execute the program.
# qp.set_api(QX_TOKEN, QX_URL)
# quantum register for the circuit(3->5)
q1 = qp.create_quantum_register('q1', 5)
c1 = qp.create_classical_register('c1', 5)
# making the circuit
qc1 = qp.create_circuit('Grover', [q1], [c1])
# line one
qc1.x(q1[0])
# line two
qc1.h(q1[0])
qc1.h(q1[1])
qc1.h(q1[2])
# line three
qc1.x(q1[0])
qc1.x(q1[1])
# line four
qc1.ccx(q1[2], q1[1], q1[0])
qc1.x(q1[2])
# qc1.x(q1[1])
# line five
qc1.h(q1[2])
qc1.h(q1[1])
# line six
qc1.x(q1[2])
qc1.x(q1[1])
# line seven
qc1.h(q1[1])
# line eight
qc1.cx(q1[2], q1[1])
# line nine
qc1.h(q1[1])
# line ten
qc1.x(q1[2])
qc1.x(q1[1])
# line eleven
qc1.h(q1[0])
qc1.h(q1[1])
qc1.h(q1[2])
# Measure
for i in range(5):
qc1.measure(q1[i], c1[i])
# printing the circuits
print(qp.get_qasm('Grover'))
qobj = qp.compile('Grover', backend=backend, shots=1000, max_credits=15)
qp.get_execution_list(qobj)
qp.get_execution_list(qobj, verbose=True)
qp.get_compiled_configuration(qobj, 'Grover')
#new
result = qp.execute('Grover', backend=backend, shots=1000, max_credits=15)
#print result:
print(qp.get_compiled_qasm(qobj, 'Grover'))
#print info:
#print(api.backend_status(backend))
#print(api.backend_parameters(backend))
#new
# print(result)
# print(result.get_data("Grover"))
#Record information in text.txt(Create text.txt file in your repository)
res = result.get_data("Grover")
quasm = qp.get_qasm('Grover')
b = ascii(res)
c = ascii(quasm)
with open('Fourth(111).txt', 'w') as ouf:
ouf.write('\n' + b)
class UnitarySimulatorSympyTest(QiskitTestCase):
"""Test local unitary simulator sympy."""
def setUp(self):
self.seed = 88
self.qasm_filename = self._get_resource_path('qasm/simple.qasm')
self.qp = QuantumProgram()
def test_unitary_simulator(self):
"""test generation of circuit unitary"""
self.qp.load_qasm_file(self.qasm_filename, name='example')
basis_gates = [] # unroll to base gates
unroller = unroll.Unroller(
qasm.Qasm(data=self.qp.get_qasm('example')).parse(),
unroll.JsonBackend(basis_gates))
circuit = unroller.execute()
# strip measurements from circuit to avoid warnings
circuit['operations'] = [
op for op in circuit['operations'] if op['name'] != 'measure'
]
# the simulator is expecting a JSON format, so we need to convert it
# back to JSON
qobj = {
'id':
'unitary',
'config': {
'max_credits': None,
'shots': 1,
'backend_name': 'local_sympy_unitary_simulator'
},
'circuits': [{
'name': 'test',
'compiled_circuit': circuit,
'compiled_circuit_qasm': self.qp.get_qasm('example'),
'config': {
'coupling_map': None,
'basis_gates': None,
'layout': None,
'seed': None
}
}]
}
q_job = QuantumJob(qobj,
backend=UnitarySimulatorSympy(),
preformatted=True)
result = UnitarySimulatorSympy().run(q_job).result()
actual = result.get_data('test')['unitary']
self.assertEqual(actual[0][0], sqrt(2) / 2)
self.assertEqual(actual[0][1], sqrt(2) / 2)
self.assertEqual(actual[0][2], 0)
self.assertEqual(actual[0][3], 0)
self.assertEqual(actual[1][0], 0)
self.assertEqual(actual[1][1], 0)
self.assertEqual(actual[1][2], sqrt(2) / 2)
self.assertEqual(actual[1][3], -sqrt(2) / 2)
self.assertEqual(actual[2][0], 0)
self.assertEqual(actual[2][1], 0)
self.assertEqual(actual[2][2], sqrt(2) / 2)
self.assertEqual(actual[2][3], sqrt(2) / 2)
self.assertEqual(actual[3][0], sqrt(2) / 2)
self.assertEqual(actual[3][1], -sqrt(2) / 2)
self.assertEqual(actual[3][2], 0)
self.assertEqual(actual[3][3], 0)
qcircuit.x(qubit[0])
qcircuit.h(qubit[0])
qcircuit.ccx(qubit[0], qubit[1], qubit[6])
qcircuit.ccx(qubit[2], qubit[3], qubit[5])
qcircuit.ccx(qubit[5], qubit[6], qubit[4])
qcircuit.ccx(qubit[2], qubit[3], qubit[5])
qcircuit.ccx(qubit[0], qubit[1], qubit[6])
qcircuit.ccx(qubit[0], qubit[1], qubit[6])
qcircuit.ccx(qubit[6], qubit[2], qubit[3])
qcircuit.ccx(qubit[0], qubit[1], qubit[6])
qcircuit.ccx(qubit[0], qubit[1], qubit[2])
qcircuit.cx(qubit[0], qubit[1])
qcircuit.x(qubit[0])
qcircuit.measure(qubit[1], classic[0])
qcircuit.measure(qubit[2], classic[1])
qcircuit.measure(qubit[3], classic[2])
qcircuit.measure(qubit[4], classic[3])
#run the complete circuit and gather the result
result = quantum.execute(["quantumWalk"],
backend='local_qasm_simulator',
shots=1024)
#return the result to console: bits and bit states that were counted
print(quantum.get_qasm("quantumWalk"))
print(result)
print(result.get_data("quantumWalk"))
#plot the counts, determine probability of each state
plot_histogram(result.get_counts('quantumWalk'))
class LocalQasmSimulatorTest(unittest.TestCase):
"""Test local qasm simulator."""
@classmethod
def setUpClass(cls):
cls.moduleName = os.path.splitext(__file__)[0]
cls.pdf = PdfPages(cls.moduleName + '.pdf')
cls.log = logging.getLogger(__name__)
cls.log.setLevel(logging.INFO)
logFileName = cls.moduleName + '.log'
handler = logging.FileHandler(logFileName)
handler.setLevel(logging.INFO)
log_fmt = ('{}.%(funcName)s:%(levelname)s:%(asctime)s:'
' %(message)s'.format(cls.__name__))
formatter = logging.Formatter(log_fmt)
handler.setFormatter(formatter)
cls.log.addHandler(handler)
@classmethod
def tearDownClass(cls):
cls.pdf.close()
def setUp(self):
self.seed = 88
self.qasmFileName = os.path.join(qiskit.__path__[0],
'../test/python/qasm/example.qasm')
self.qp = QuantumProgram()
def tearDown(self):
pass
def test_qasm_simulator_single_shot(self):
"""Test single shot run."""
shots = 1
self.qp.load_qasm_file(self.qasmFileName, name='example')
basis_gates = [] # unroll to base gates
unroller = unroll.Unroller(
qasm.Qasm(data=self.qp.get_qasm("example")).parse(),
unroll.JsonBackend(basis_gates))
circuit = unroller.execute()
config = {'shots': shots, 'seed': self.seed}
job = {'compiled_circuit': circuit, 'config': config}
result = QasmSimulator(job).run()
self.assertEqual(result['status'], 'DONE')
def test_qasm_simulator(self):
"""Test data counts output for single circuit run against reference."""
shots = 1024
self.qp.load_qasm_file(self.qasmFileName, name='example')
basis_gates = [] # unroll to base gates
unroller = unroll.Unroller(
qasm.Qasm(data=self.qp.get_qasm("example")).parse(),
unroll.JsonBackend(basis_gates))
circuit = unroller.execute()
config = {'shots': shots, 'seed': self.seed}
job = {'compiled_circuit': circuit, 'config': config}
result = QasmSimulator(job).run()
expected = {
'100 100': 137,
'011 011': 131,
'101 101': 117,
'111 111': 127,
'000 000': 131,
'010 010': 141,
'110 110': 116,
'001 001': 124
}
self.assertEqual(result['data']['counts'], expected)
def test_if_statement(self):
self.log.info('test_if_statement_x')
shots = 100
max_qubits = 3
qp = QuantumProgram()
qr = qp.create_quantum_register('qr', max_qubits)
cr = qp.create_classical_register('cr', max_qubits)
circuit = qp.create_circuit('test_if', [qr], [cr])
circuit.x(qr[0])
circuit.x(qr[1])
circuit.measure(qr[0], cr[0])
circuit.measure(qr[1], cr[1])
circuit.x(qr[2]).c_if(cr, 0x3)
circuit.measure(qr[0], cr[0])
circuit.measure(qr[1], cr[1])
circuit.measure(qr[2], cr[2])
circuit2 = qp.create_circuit('test_if_case_2', [qr], [cr])
circuit2.x(qr[0])
circuit2.measure(qr[0], cr[0])
circuit2.measure(qr[1], cr[1])
circuit2.x(qr[2]).c_if(cr, 0x3)
circuit2.measure(qr[0], cr[0])
circuit2.measure(qr[1], cr[1])
circuit2.measure(qr[2], cr[2])
basis_gates = [] # unroll to base gates
unroller = unroll.Unroller(
qasm.Qasm(data=qp.get_qasm('test_if')).parse(),
unroll.JsonBackend(basis_gates))
ucircuit = unroller.execute()
unroller = unroll.Unroller(
qasm.Qasm(data=qp.get_qasm('test_if_case_2')).parse(),
unroll.JsonBackend(basis_gates))
ucircuit2 = unroller.execute()
config = {'shots': shots, 'seed': self.seed}
job = {'compiled_circuit': ucircuit, 'config': config}
result_if_true = QasmSimulator(job).run()
job = {'compiled_circuit': ucircuit2, 'config': config}
result_if_false = QasmSimulator(job).run()
self.log.info('result_if_true circuit:')
self.log.info(circuit.qasm())
self.log.info('result_if_true={0}'.format(result_if_true))
del circuit.data[1]
self.log.info('result_if_false circuit:')
self.log.info(circuit.qasm())
self.log.info('result_if_false={0}'.format(result_if_false))
self.assertTrue(result_if_true['data']['counts']['111'] == 100)
self.assertTrue(result_if_false['data']['counts']['001'] == 100)
def test_teleport(self):
"""test teleportation as in tutorials"""
self.log.info('test_teleport')
pi = np.pi
shots = 1000
qp = QuantumProgram()
qr = qp.create_quantum_register('qr', 3)
cr0 = qp.create_classical_register('cr0', 1)
cr1 = qp.create_classical_register('cr1', 1)
cr2 = qp.create_classical_register('cr2', 1)
circuit = qp.create_circuit('teleport', [qr], [cr0, cr1, cr2])
circuit.h(qr[1])
circuit.cx(qr[1], qr[2])
circuit.ry(pi / 4, qr[0])
circuit.cx(qr[0], qr[1])
circuit.h(qr[0])
circuit.barrier(qr)
circuit.measure(qr[0], cr0[0])
circuit.measure(qr[1], cr1[0])
circuit.z(qr[2]).c_if(cr0, 1)
circuit.x(qr[2]).c_if(cr1, 1)
circuit.measure(qr[2], cr2[0])
backend = 'local_qasm_simulator'
qobj = qp.compile('teleport',
backend=backend,
shots=shots,
seed=self.seed)
results = qp.run(qobj)
data = results.get_counts('teleport')
alice = {}
bob = {}
alice['00'] = data['0 0 0'] + data['1 0 0']
alice['01'] = data['0 1 0'] + data['1 1 0']
alice['10'] = data['0 0 1'] + data['1 0 1']
alice['11'] = data['0 1 1'] + data['1 1 1']
bob['0'] = data['0 0 0'] + data['0 1 0'] + data['0 0 1'] + data['0 1 1']
bob['1'] = data['1 0 0'] + data['1 1 0'] + data['1 0 1'] + data['1 1 1']
self.log.info('test_telport: circuit:')
self.log.info(circuit.qasm())
self.log.info('test_teleport: data {0}'.format(data))
self.log.info('test_teleport: alice {0}'.format(alice))
self.log.info('test_teleport: bob {0}'.format(bob))
alice_ratio = 1 / np.tan(pi / 8)**2
bob_ratio = bob['0'] / float(bob['1'])
error = abs(alice_ratio - bob_ratio) / alice_ratio
self.log.info('test_teleport: relative error = {0:.4f}'.format(error))
self.assertLess(error, 0.05)
def profile_qasm_simulator(self):
"""Profile randomly generated circuits.
Writes profile results to <this_module>.prof as well as recording
to the log file.
number of circuits = 100.
number of operations/circuit in [1, 40]
number of qubits in [1, 5]
"""
seed = 88
shots = 1024
nCircuits = 100
minDepth = 1
maxDepth = 40
minQubits = 1
maxQubits = 5
pr = cProfile.Profile()
randomCircuits = RandomQasmGenerator(seed,
minQubits=minQubits,
maxQubits=maxQubits,
minDepth=minDepth,
maxDepth=maxDepth)
randomCircuits.add_circuits(nCircuits)
self.qp = randomCircuits.getProgram()
pr.enable()
self.qp.execute(self.qp.get_circuit_names(),
backend='local_qasm_simulator',
shots=shots)
pr.disable()
sout = io.StringIO()
ps = pstats.Stats(pr, stream=sout).sort_stats('cumulative')
self.log.info('------- start profiling QasmSimulator -----------')
ps.print_stats()
self.log.info(sout.getvalue())
self.log.info('------- stop profiling QasmSimulator -----------')
sout.close()
pr.dump_stats(self.moduleName + '.prof')
def profile_nqubit_speed_grow_depth(self):
"""simulation time vs the number of qubits
where the circuit depth is 10x the number of simulated
qubits. Also creates a pdf file with this module name showing a
plot of the results. Compilation is not included in speed.
"""
import matplotlib.pyplot as plt
from matplotlib.ticker import MaxNLocator
qubitRangeMax = 15
nQubitList = range(1, qubitRangeMax + 1)
nCircuits = 10
shots = 1024
seed = 88
maxTime = 30 # seconds; timing stops when simulation time exceeds this number
fmtStr1 = 'profile_nqubit_speed::nqubits:{0}, backend:{1}, elapsed_time:{2:.2f}'
fmtStr2 = 'backend:{0}, circuit:{1}, numOps:{2}, result:{3}'
fmtStr3 = 'minDepth={minDepth}, maxDepth={maxDepth}, num circuits={nCircuits}, shots={shots}'
backendList = ['local_qasm_simulator', 'local_unitary_simulator']
if shutil.which('qasm_simulator'):
backendList.append('local_qasm_cpp_simulator')
else:
self.log.info(
'profile_nqubit_speed::\"qasm_simulator\" executable not in path...skipping'
)
fig = plt.figure(0)
plt.clf()
ax = fig.add_axes((0.1, 0.25, 0.8, 0.6))
for i, backend in enumerate(backendList):
elapsedTime = np.zeros(len(nQubitList))
if backend is 'local_unitary_simulator':
doMeasure = False
else:
doMeasure = True
j, timedOut = 0, False
while j < qubitRangeMax and not timedOut:
nQubits = nQubitList[j]
randomCircuits = RandomQasmGenerator(seed,
minQubits=nQubits,
maxQubits=nQubits,
minDepth=nQubits * 10,
maxDepth=nQubits * 10)
randomCircuits.add_circuits(nCircuits, doMeasure=doMeasure)
qp = randomCircuits.getProgram()
cnames = qp.get_circuit_names()
qobj = qp.compile(cnames,
backend=backend,
shots=shots,
seed=seed)
start = time.perf_counter()
results = qp.run(qobj)
stop = time.perf_counter()
elapsedTime[j] = stop - start
if elapsedTime[j] > maxTime:
timedOut = True
self.log.info(fmtStr1.format(nQubits, backend, elapsedTime[j]))
if backend is not 'local_unitary_simulator':
for name in cnames:
self.log.info(
fmtStr2.format(backend, name,
len(qp.get_circuit(name)),
results.get_data(name)))
j += 1
ax.xaxis.set_major_locator(MaxNLocator(integer=True))
if backend is 'local_unitary_simulator':
ax.plot(nQubitList[:j],
elapsedTime[:j],
label=backend,
marker='o')
else:
ax.plot(nQubitList[:j],
elapsedTime[:j] / shots,
label=backend,
marker='o')
ax.set_yscale('log', basey=10)
ax.set_xlabel('number of qubits')
ax.set_ylabel('process time/shot')
ax.set_title('profile_nqubit_speed_grow_depth')
fig.text(
0.1, 0.05,
fmtStr3.format(minDepth='10*nQubits',
maxDepth='10*nQubits',
nCircuits=nCircuits,
shots=shots))
ax.legend()
self.pdf.savefig(fig)
def profile_nqubit_speed_constant_depth(self):
"""simulation time vs the number of qubits
where the circuit depth is fixed at 40. Also creates a pdf file
with this module name showing a plot of the results. Compilation
is not included in speed.
"""
import matplotlib.pyplot as plt
from matplotlib.ticker import MaxNLocator
qubitRangeMax = 15
nQubitList = range(1, qubitRangeMax + 1)
maxDepth = 40
minDepth = 40
nCircuits = 10
shots = 1024
seed = 88
maxTime = 30 # seconds; timing stops when simulation time exceeds this number
fmtStr1 = 'profile_nqubit_speed::nqubits:{0}, backend:{1}, elapsed_time:{2:.2f}'
fmtStr2 = 'backend:{0}, circuit:{1}, numOps:{2}, result:{3}'
fmtStr3 = 'minDepth={minDepth}, maxDepth={maxDepth}, num circuits={nCircuits}, shots={shots}'
backendList = ['local_qasm_simulator', 'local_unitary_simulator']
if shutil.which('qasm_simulator'):
backendList.append('local_qasm_cpp_simulator')
else:
self.log.info(
'profile_nqubit_speed::\"qasm_simulator\" executable not in path...skipping'
)
fig = plt.figure(0)
plt.clf()
ax = fig.add_axes((0.1, 0.2, 0.8, 0.6))
for i, backend in enumerate(backendList):
elapsedTime = np.zeros(len(nQubitList))
if backend is 'local_unitary_simulator':
doMeasure = False
else:
doMeasure = True
j, timedOut = 0, False
while j < qubitRangeMax and not timedOut:
nQubits = nQubitList[j]
randomCircuits = RandomQasmGenerator(seed,
minQubits=nQubits,
maxQubits=nQubits,
minDepth=minDepth,
maxDepth=maxDepth)
randomCircuits.add_circuits(nCircuits, doMeasure=doMeasure)
qp = randomCircuits.getProgram()
cnames = qp.get_circuit_names()
qobj = qp.compile(cnames,
backend=backend,
shots=shots,
seed=seed)
start = time.perf_counter()
results = qp.run(qobj)
stop = time.perf_counter()
elapsedTime[j] = stop - start
if elapsedTime[j] > maxTime:
timedOut = True
self.log.info(fmtStr1.format(nQubits, backend, elapsedTime[j]))
if backend is not 'local_unitary_simulator':
for name in cnames:
self.log.info(
fmtStr2.format(backend, name,
len(qp.get_circuit(name)),
results.get_data(name)))
j += 1
ax.xaxis.set_major_locator(MaxNLocator(integer=True))
if backend is 'local_unitary_simulator':
ax.plot(nQubitList[:j],
elapsedTime[:j],
label=backend,
marker='o')
else:
ax.plot(nQubitList[:j],
elapsedTime[:j] / shots,
label=backend,
marker='o')
ax.set_yscale('log', basey=10)
ax.set_xlabel('number of qubits')
ax.set_ylabel('process time/shot')
ax.set_title('profile_nqubit_speed_constant_depth')
fig.text(
0.1, 0.05,
fmtStr3.format(minDepth=minDepth,
maxDepth=maxDepth,
nCircuits=nCircuits,
shots=shots))
ax.legend()
self.pdf.savefig(fig)
class LocalSimulatorTest(unittest.TestCase):
"""
Test interface to local simulators.
"""
@classmethod
def setUpClass(cls):
cls.moduleName = os.path.splitext(__file__)[0]
cls.log = logging.getLogger(__name__)
cls.log.setLevel(logging.INFO)
logFileName = cls.moduleName + '.log'
handler = logging.FileHandler(logFileName)
handler.setLevel(logging.INFO)
log_fmt = ('{}.%(funcName)s:%(levelname)s:%(asctime)s:'
' %(message)s'.format(cls.__name__))
formatter = logging.Formatter(log_fmt)
handler.setFormatter(formatter)
cls.log.addHandler(handler)
@classmethod
def tearDownClass(cls):
#cls.pdf.close()
pass
def setUp(self):
self.seed = 88
self.qasmFileName = os.path.join(qiskit.__path__[0],
'../test/python/qasm/example.qasm')
self.qp = QuantumProgram()
shots = 1
self.qp.load_qasm_file(self.qasmFileName, name='example')
basis_gates = [] # unroll to base gates
unroller = unroll.Unroller(
qasm.Qasm(data=self.qp.get_qasm("example")).parse(),
unroll.JsonBackend(basis_gates))
circuit = unroller.execute()
self.job = {'compiled_circuit': circuit,
'config': {'shots': shots, 'seed': random.randint(0, 10)}
}
def tearDown(self):
pass
def test_local_configuration_present(self):
self.assertTrue(_localsimulator.local_configuration)
def test_local_configurations(self):
required_keys = ['name',
'url',
'simulator',
'description',
'coupling_map',
'basis_gates']
for conf in _localsimulator.local_configuration:
for key in required_keys:
self.assertIn(key, conf.keys())
def test_simulator_classes(self):
cdict = _localsimulator._simulator_classes
cdict = getattr(_localsimulator, '_simulator_classes')
self.log.info('found local simulators: {0}'.format(repr(cdict)))
self.assertTrue(cdict)
def test_local_backends(self):
backends = _localsimulator.local_backends()
self.log.info('found local backends: {0}'.format(repr(backends)))
self.assertTrue(backends)
def test_instantiation(self):
"""
Test instantiation of LocalSimulator
"""
backend_list = _localsimulator.local_backends()
for backend_name in backend_list:
backend = _localsimulator.LocalSimulator(backend_name, self.job)
class LocalQasmSimulatorTest(unittest.TestCase):
"""Test local qasm simulator."""
@classmethod
def setUpClass(cls):
cls.moduleName = os.path.splitext(__file__)[0]
cls.pdf = PdfPages(cls.moduleName + '.pdf')
cls.log = logging.getLogger(__name__)
cls.log.setLevel(logging.INFO)
logFileName = cls.moduleName + '.log'
handler = logging.FileHandler(logFileName)
handler.setLevel(logging.INFO)
log_fmt = ('{}.%(funcName)s:%(levelname)s:%(asctime)s:'
' %(message)s'.format(cls.__name__))
formatter = logging.Formatter(log_fmt)
handler.setFormatter(formatter)
cls.log.addHandler(handler)
@classmethod
def tearDownClass(cls):
cls.pdf.close()
def setUp(self):
self.seed = 88
self.qasmFileName = os.path.join(qiskit.__path__[0],
'../test/python/qasm/example.qasm')
self.qp = QuantumProgram()
def tearDown(self):
pass
def test_qasm_simulator_single_shot(self):
"""Test single shot run."""
shots = 1
self.qp.load_qasm_file(self.qasmFileName, name='example')
basis_gates = [] # unroll to base gates
unroller = unroll.Unroller(
qasm.Qasm(data=self.qp.get_qasm("example")).parse(),
unroll.JsonBackend(basis_gates))
circuit = unroller.execute()
config = {'shots': shots, 'seed': self.seed}
job = {'compiled_circuit': circuit, 'config': config}
result = QasmSimulator(job).run()
self.assertEqual(result['status'], 'DONE')
def test_qasm_simulator(self):
"""Test data counts output for single circuit run against reference."""
shots = 1024
self.qp.load_qasm_file(self.qasmFileName, name='example')
basis_gates = [] # unroll to base gates
unroller = unroll.Unroller(
qasm.Qasm(data=self.qp.get_qasm("example")).parse(),
unroll.JsonBackend(basis_gates))
circuit = unroller.execute()
config = {'shots': shots, 'seed': self.seed}
job = {'compiled_circuit': circuit, 'config': config}
result = QasmSimulator(job).run()
expected = {'100 100': 137, '011 011': 131, '101 101': 117, '111 111': 127,
'000 000': 131, '010 010': 141, '110 110': 116, '001 001': 124}
self.assertEqual(result['data']['counts'], expected)
def test_if_statement(self):
self.log.info('test_if_statement_x')
shots = 100
max_qubits = 3
qp = QuantumProgram()
qr = qp.create_quantum_register('qr', max_qubits)
cr = qp.create_classical_register('cr', max_qubits)
circuit = qp.create_circuit('test_if', [qr], [cr])
circuit.x(qr[0])
circuit.x(qr[1])
circuit.measure(qr[0], cr[0])
circuit.measure(qr[1], cr[1])
circuit.x(qr[2]).c_if(cr, 0x3)
circuit.measure(qr[0], cr[0])
circuit.measure(qr[1], cr[1])
circuit.measure(qr[2], cr[2])
circuit2 = qp.create_circuit('test_if_case_2', [qr], [cr])
circuit2.x(qr[0])
circuit2.measure(qr[0], cr[0])
circuit2.measure(qr[1], cr[1])
circuit2.x(qr[2]).c_if(cr, 0x3)
circuit2.measure(qr[0], cr[0])
circuit2.measure(qr[1], cr[1])
circuit2.measure(qr[2], cr[2])
basis_gates = [] # unroll to base gates
unroller = unroll.Unroller(
qasm.Qasm(data=qp.get_qasm('test_if')).parse(),
unroll.JsonBackend(basis_gates))
ucircuit = unroller.execute()
unroller = unroll.Unroller(
qasm.Qasm(data=qp.get_qasm('test_if_case_2')).parse(),
unroll.JsonBackend(basis_gates))
ucircuit2 = unroller.execute()
config = {'shots': shots, 'seed': self.seed}
job = {'compiled_circuit': ucircuit, 'config': config}
result_if_true = QasmSimulator(job).run()
job = {'compiled_circuit': ucircuit2, 'config': config}
result_if_false = QasmSimulator(job).run()
self.log.info('result_if_true circuit:')
self.log.info(circuit.qasm())
self.log.info('result_if_true={0}'.format(result_if_true))
del circuit.data[1]
self.log.info('result_if_false circuit:')
self.log.info(circuit.qasm())
self.log.info('result_if_false={0}'.format(result_if_false))
self.assertTrue(result_if_true['data']['counts']['111'] == 100)
self.assertTrue(result_if_false['data']['counts']['001'] == 100)
def test_teleport(self):
"""test teleportation as in tutorials"""
self.log.info('test_teleport')
pi = np.pi
shots = 1000
qp = QuantumProgram()
qr = qp.create_quantum_register('qr', 3)
cr0 = qp.create_classical_register('cr0', 1)
cr1 = qp.create_classical_register('cr1', 1)
cr2 = qp.create_classical_register('cr2', 1)
circuit = qp.create_circuit('teleport', [qr],
[cr0, cr1, cr2])
circuit.h(qr[1])
circuit.cx(qr[1], qr[2])
circuit.ry(pi/4, qr[0])
circuit.cx(qr[0], qr[1])
circuit.h(qr[0])
circuit.barrier(qr)
circuit.measure(qr[0], cr0[0])
circuit.measure(qr[1], cr1[0])
circuit.z(qr[2]).c_if(cr0, 1)
circuit.x(qr[2]).c_if(cr1, 1)
circuit.measure(qr[2], cr2[0])
backend = 'local_qasm_simulator'
qobj = qp.compile('teleport', backend=backend, shots=shots,
seed=self.seed)
results = qp.run(qobj)
data = results.get_counts('teleport')
alice = {}
bob = {}
alice['00'] = data['0 0 0'] + data['1 0 0']
alice['01'] = data['0 1 0'] + data['1 1 0']
alice['10'] = data['0 0 1'] + data['1 0 1']
alice['11'] = data['0 1 1'] + data['1 1 1']
bob['0'] = data['0 0 0'] + data['0 1 0'] + data['0 0 1'] + data['0 1 1']
bob['1'] = data['1 0 0'] + data['1 1 0'] + data['1 0 1'] + data['1 1 1']
self.log.info('test_telport: circuit:')
self.log.info( circuit.qasm() )
self.log.info('test_teleport: data {0}'.format(data))
self.log.info('test_teleport: alice {0}'.format(alice))
self.log.info('test_teleport: bob {0}'.format(bob))
alice_ratio = 1/np.tan(pi/8)**2
bob_ratio = bob['0']/float(bob['1'])
error = abs(alice_ratio - bob_ratio) / alice_ratio
self.log.info('test_teleport: relative error = {0:.4f}'.format(error))
self.assertLess(error, 0.05)
def profile_qasm_simulator(self):
"""Profile randomly generated circuits.
Writes profile results to <this_module>.prof as well as recording
to the log file.
number of circuits = 100.
number of operations/circuit in [1, 40]
number of qubits in [1, 5]
"""
seed = 88
shots = 1024
nCircuits = 100
minDepth = 1
maxDepth = 40
minQubits = 1
maxQubits = 5
pr = cProfile.Profile()
randomCircuits = RandomQasmGenerator(seed,
minQubits=minQubits,
maxQubits=maxQubits,
minDepth=minDepth,
maxDepth=maxDepth)
randomCircuits.add_circuits(nCircuits)
self.qp = randomCircuits.getProgram()
pr.enable()
self.qp.execute(self.qp.get_circuit_names(),
backend='local_qasm_simulator',
shots=shots)
pr.disable()
sout = io.StringIO()
ps = pstats.Stats(pr, stream=sout).sort_stats('cumulative')
self.log.info('------- start profiling QasmSimulator -----------')
ps.print_stats()
self.log.info(sout.getvalue())
self.log.info('------- stop profiling QasmSimulator -----------')
sout.close()
pr.dump_stats(self.moduleName + '.prof')
def profile_nqubit_speed_grow_depth(self):
"""simulation time vs the number of qubits
where the circuit depth is 10x the number of simulated
qubits. Also creates a pdf file with this module name showing a
plot of the results. Compilation is not included in speed.
"""
import matplotlib.pyplot as plt
from matplotlib.ticker import MaxNLocator
qubitRangeMax = 15
nQubitList = range(1,qubitRangeMax + 1)
nCircuits = 10
shots = 1024
seed = 88
maxTime = 30 # seconds; timing stops when simulation time exceeds this number
fmtStr1 = 'profile_nqubit_speed::nqubits:{0}, backend:{1}, elapsed_time:{2:.2f}'
fmtStr2 = 'backend:{0}, circuit:{1}, numOps:{2}, result:{3}'
fmtStr3 = 'minDepth={minDepth}, maxDepth={maxDepth}, num circuits={nCircuits}, shots={shots}'
backendList = ['local_qasm_simulator', 'local_unitary_simulator']
if shutil.which('qasm_simulator'):
backendList.append('local_qasm_cpp_simulator')
else:
self.log.info('profile_nqubit_speed::\"qasm_simulator\" executable not in path...skipping')
fig = plt.figure(0)
plt.clf()
ax = fig.add_axes((0.1, 0.25, 0.8, 0.6))
for i, backend in enumerate(backendList):
elapsedTime = np.zeros(len(nQubitList))
if backend is 'local_unitary_simulator':
doMeasure = False
else:
doMeasure = True
j, timedOut = 0, False
while j < qubitRangeMax and not timedOut:
nQubits = nQubitList[j]
randomCircuits = RandomQasmGenerator(seed,
minQubits=nQubits,
maxQubits=nQubits,
minDepth=nQubits*10,
maxDepth=nQubits*10)
randomCircuits.add_circuits(nCircuits, doMeasure=doMeasure)
qp = randomCircuits.getProgram()
cnames = qp.get_circuit_names()
qobj = qp.compile(cnames, backend=backend, shots=shots,
seed=seed)
start = time.perf_counter()
results = qp.run(qobj)
stop = time.perf_counter()
elapsedTime[j] = stop - start
if elapsedTime[j] > maxTime:
timedOut = True
self.log.info(fmtStr1.format(nQubits, backend, elapsedTime[j]))
if backend is not 'local_unitary_simulator':
for name in cnames:
self.log.info(fmtStr2.format(
backend, name, len(qp.get_circuit(name)),
results.get_data(name)))
j += 1
ax.xaxis.set_major_locator(MaxNLocator(integer=True))
if backend is 'local_unitary_simulator':
ax.plot(nQubitList[:j], elapsedTime[:j], label=backend, marker='o')
else:
ax.plot(nQubitList[:j], elapsedTime[:j]/shots, label=backend,
marker='o')
ax.set_yscale('log', basey=10)
ax.set_xlabel('number of qubits')
ax.set_ylabel('process time/shot')
ax.set_title('profile_nqubit_speed_grow_depth')
fig.text(0.1, 0.05,
fmtStr3.format(minDepth='10*nQubits', maxDepth='10*nQubits',
nCircuits=nCircuits, shots=shots))
ax.legend()
self.pdf.savefig(fig)
def profile_nqubit_speed_constant_depth(self):
"""simulation time vs the number of qubits
where the circuit depth is fixed at 40. Also creates a pdf file
with this module name showing a plot of the results. Compilation
is not included in speed.
"""
import matplotlib.pyplot as plt
from matplotlib.ticker import MaxNLocator
qubitRangeMax = 15
nQubitList = range(1,qubitRangeMax + 1)
maxDepth = 40
minDepth = 40
nCircuits = 10
shots = 1024
seed = 88
maxTime = 30 # seconds; timing stops when simulation time exceeds this number
fmtStr1 = 'profile_nqubit_speed::nqubits:{0}, backend:{1}, elapsed_time:{2:.2f}'
fmtStr2 = 'backend:{0}, circuit:{1}, numOps:{2}, result:{3}'
fmtStr3 = 'minDepth={minDepth}, maxDepth={maxDepth}, num circuits={nCircuits}, shots={shots}'
backendList = ['local_qasm_simulator', 'local_unitary_simulator']
if shutil.which('qasm_simulator'):
backendList.append('local_qasm_cpp_simulator')
else:
self.log.info('profile_nqubit_speed::\"qasm_simulator\" executable not in path...skipping')
fig = plt.figure(0)
plt.clf()
ax = fig.add_axes((0.1, 0.2, 0.8, 0.6))
for i, backend in enumerate(backendList):
elapsedTime = np.zeros(len(nQubitList))
if backend is 'local_unitary_simulator':
doMeasure = False
else:
doMeasure = True
j, timedOut = 0, False
while j < qubitRangeMax and not timedOut:
nQubits = nQubitList[j]
randomCircuits = RandomQasmGenerator(seed,
minQubits=nQubits,
maxQubits=nQubits,
minDepth=minDepth,
maxDepth=maxDepth)
randomCircuits.add_circuits(nCircuits, doMeasure=doMeasure)
qp = randomCircuits.getProgram()
cnames = qp.get_circuit_names()
qobj = qp.compile(cnames, backend=backend, shots=shots, seed=seed)
start = time.perf_counter()
results = qp.run(qobj)
stop = time.perf_counter()
elapsedTime[j] = stop - start
if elapsedTime[j] > maxTime:
timedOut = True
self.log.info(fmtStr1.format(nQubits, backend, elapsedTime[j]))
if backend is not 'local_unitary_simulator':
for name in cnames:
self.log.info(fmtStr2.format(
backend, name, len(qp.get_circuit(name)),
results.get_data(name)))
j += 1
ax.xaxis.set_major_locator(MaxNLocator(integer=True))
if backend is 'local_unitary_simulator':
ax.plot(nQubitList[:j], elapsedTime[:j], label=backend, marker='o')
else:
ax.plot(nQubitList[:j], elapsedTime[:j]/shots, label=backend,
marker='o')
ax.set_yscale('log', basey=10)
ax.set_xlabel('number of qubits')
ax.set_ylabel('process time/shot')
ax.set_title('profile_nqubit_speed_constant_depth')
fig.text(0.1, 0.05,
fmtStr3.format(minDepth=minDepth, maxDepth=maxDepth,
nCircuits=nCircuits, shots=shots))
ax.legend()
self.pdf.savefig(fig)
class LocalSimulatorTest(unittest.TestCase):
"""
Test interface to local simulators.
"""
@classmethod
def setUpClass(cls):
cls.moduleName = os.path.splitext(__file__)[0]
cls.logFileName = cls.moduleName + '.log'
log_fmt = 'LocalSimulatorTest:%(levelname)s:%(asctime)s: %(message)s'
logging.basicConfig(filename=cls.logFileName,
level=logging.INFO,
format=log_fmt)
@classmethod
def tearDownClass(cls):
#cls.pdf.close()
pass
def setUp(self):
self.seed = 88
self.qasmFileName = os.path.join(qiskit.__path__[0],
'../test/python/qasm/example.qasm')
self.qp = QuantumProgram()
shots = 1
self.qp.load_qasm_file(self.qasmFileName, name='example')
basis_gates = [] # unroll to base gates
unroller = unroll.Unroller(
qasm.Qasm(data=self.qp.get_qasm("example")).parse(),
unroll.JsonBackend(basis_gates))
circuit = unroller.execute()
self.job = {
'compiled_circuit': circuit,
'config': {
'shots': shots,
'seed': random.randint(0, 10)
}
}
def tearDown(self):
pass
def test_local_configuration_present(self):
self.assertTrue(_localsimulator.local_configuration)
def test_local_configurations(self):
required_keys = [
'name', 'url', 'simulator', 'description', 'coupling_map',
'basis_gates'
]
for conf in _localsimulator.local_configuration:
for key in required_keys:
self.assertIn(key, conf.keys())
def test_simulator_classes(self):
cdict = _localsimulator._simulator_classes
cdict = getattr(_localsimulator, '_simulator_classes')
logging.info('found local simulators: {0}'.format(repr(cdict)))
self.assertTrue(cdict)
def test_local_backends(self):
backends = _localsimulator.local_backends()
logging.info('found local backends: {0}'.format(repr(backends)))
self.assertTrue(backends)
def test_instantiation(self):
"""
Test instantiation of LocalSimulator
"""
backend_list = _localsimulator.local_backends()
for backend_name in backend_list:
backend = _localsimulator.LocalSimulator(backend_name, self.job)
class LocalUnitarySimulatorTest(unittest.TestCase):
"""Test local unitary simulator."""
def setUp(self):
self.seed = 88
self.qasmFileName = os.path.join(qiskit.__path__[0],
'../test/python/qasm/example.qasm')
self.qp = QuantumProgram()
self.moduleName = os.path.splitext(__file__)[0]
self.modulePath = os.path.dirname(__file__)
logFileName = self.moduleName + '.log'
logging.basicConfig(filename=logFileName, level=logging.INFO)
def tearDown(self):
pass
def test_unitary_simulator(self):
"""test generation of circuit unitary"""
shots = 1024
self.qp.load_qasm_file(self.qasmFileName, name='example')
basis_gates = [] # unroll to base gates
unroller = unroll.Unroller(
qasm.Qasm(data=self.qp.get_qasm("example")).parse(),
unroll.JsonBackend(basis_gates))
circuit = unroller.execute()
# if we want to manipulate the circuit, we have to convert it to a dict
circuit = json.loads(circuit.decode())
#strip measurements from circuit to avoid warnings
circuit['operations'] = [op for op in circuit['operations']
if op['name'] != 'measure']
# the simulator is expecting a JSON format, so we need to convert it back to JSON
job = {'compiled_circuit': json.dumps(circuit).encode()}
# numpy savetxt is currently prints complex numbers in a way
# loadtxt can't read. To save file do,
# fmtstr=['% .4g%+.4gj' for i in range(numCols)]
# np.savetxt('example_unitary_matrix.dat', numpyMatrix, fmt=fmtstr, delimiter=',')
expected = np.loadtxt(os.path.join(self.modulePath,
'example_unitary_matrix.dat'),
dtype='complex', delimiter=',')
result = UnitarySimulator(job).run()
self.assertTrue(np.allclose(result['data']['unitary'], expected,
rtol=1e-3))
def profile_unitary_simulator(self):
"""Profile randomly generated circuits.
Writes profile results to <this_module>.prof as well as recording
to the log file.
number of circuits = 100.
number of operations/circuit in [1, 40]
number of qubits in [1, 5]
"""
nCircuits = 100
maxDepth = 40
maxQubits = 5
pr = cProfile.Profile()
randomCircuits = RandomQasmGenerator(seed=self.seed,
maxDepth=maxDepth,
maxQubits=maxQubits)
randomCircuits.add_circuits(nCircuits, doMeasure=False)
self.qp = randomCircuits.getProgram()
pr.enable()
self.qp.execute(self.qp.get_circuit_names(),
backend='local_unitary_simulator')
pr.disable()
sout = io.StringIO()
ps = pstats.Stats(pr, stream=sout).sort_stats('cumulative')
logging.info('------- start profiling UnitarySimulator -----------')
ps.print_stats()
logging.info(sout.getvalue())
logging.info('------- stop profiling UnitarySimulator -----------')
sout.close()
pr.dump_stats(self.moduleName + '.prof')
class TestLocalQasmSimulatorPy(QiskitTestCase):
"""Test local_qasm_simulator_py."""
@classmethod
def setUpClass(cls):
super().setUpClass()
if do_profiling:
cls.pdf = PdfPages(cls.moduleName + '.pdf')
@classmethod
def tearDownClass(cls):
if do_profiling:
cls.pdf.close()
def setUp(self):
self.seed = 88
self.qasm_filename = self._get_resource_path('qasm/example.qasm')
self.qp = QuantumProgram()
self.qp.load_qasm_file(self.qasm_filename, name='example')
basis_gates = [] # unroll to base gates
unroller = unroll.Unroller(
qasm.Qasm(data=self.qp.get_qasm('example')).parse(),
unroll.JsonBackend(basis_gates))
circuit = unroller.execute()
circuit_config = {'coupling_map': None,
'basis_gates': 'u1,u2,u3,cx,id',
'layout': None,
'seed': self.seed}
resources = {'max_credits': 3}
self.qobj = {'id': 'test_sim_single_shot',
'config': {
'max_credits': resources['max_credits'],
'shots': 1024,
'backend_name': 'local_qasm_simulator_py',
},
'circuits': [
{
'name': 'test',
'compiled_circuit': circuit,
'compiled_circuit_qasm': None,
'config': circuit_config
}
]}
self.q_job = QuantumJob(self.qobj,
backend=QasmSimulatorPy(),
circuit_config=circuit_config,
seed=self.seed,
resources=resources,
preformatted=True)
def tearDown(self):
pass
def test_qasm_simulator_single_shot(self):
"""Test single shot run."""
shots = 1
self.qobj['config']['shots'] = shots
result = QasmSimulatorPy().run(self.q_job).result()
self.assertEqual(result.get_status(), 'COMPLETED')
def test_qasm_simulator(self):
"""Test data counts output for single circuit run against reference."""
result = QasmSimulatorPy().run(self.q_job).result()
shots = 1024
threshold = 0.04 * shots
counts = result.get_counts('test')
target = {'100 100': shots / 8, '011 011': shots / 8,
'101 101': shots / 8, '111 111': shots / 8,
'000 000': shots / 8, '010 010': shots / 8,
'110 110': shots / 8, '001 001': shots / 8}
self.assertDictAlmostEqual(counts, target, threshold)
def test_if_statement(self):
self.log.info('test_if_statement_x')
shots = 100
max_qubits = 3
qp = QuantumProgram()
qr = qp.create_quantum_register('qr', max_qubits)
cr = qp.create_classical_register('cr', max_qubits)
circuit_if_true = qp.create_circuit('test_if_true', [qr], [cr])
circuit_if_true.x(qr[0])
circuit_if_true.x(qr[1])
circuit_if_true.measure(qr[0], cr[0])
circuit_if_true.measure(qr[1], cr[1])
circuit_if_true.x(qr[2]).c_if(cr, 0x3)
circuit_if_true.measure(qr[0], cr[0])
circuit_if_true.measure(qr[1], cr[1])
circuit_if_true.measure(qr[2], cr[2])
circuit_if_false = qp.create_circuit('test_if_false', [qr], [cr])
circuit_if_false.x(qr[0])
circuit_if_false.measure(qr[0], cr[0])
circuit_if_false.measure(qr[1], cr[1])
circuit_if_false.x(qr[2]).c_if(cr, 0x3)
circuit_if_false.measure(qr[0], cr[0])
circuit_if_false.measure(qr[1], cr[1])
circuit_if_false.measure(qr[2], cr[2])
basis_gates = [] # unroll to base gates
unroller = unroll.Unroller(
qasm.Qasm(data=qp.get_qasm('test_if_true')).parse(),
unroll.JsonBackend(basis_gates))
ucircuit_true = unroller.execute()
unroller = unroll.Unroller(
qasm.Qasm(data=qp.get_qasm('test_if_false')).parse(),
unroll.JsonBackend(basis_gates))
ucircuit_false = unroller.execute()
qobj = {
'id': 'test_if_qobj',
'config': {
'max_credits': 3,
'shots': shots,
'backend_name': 'local_qasm_simulator_py',
},
'circuits': [
{
'name': 'test_if_true',
'compiled_circuit': ucircuit_true,
'compiled_circuit_qasm': None,
'config': {
'coupling_map': None,
'basis_gates': 'u1,u2,u3,cx,id',
'layout': None,
'seed': None
}
},
{
'name': 'test_if_false',
'compiled_circuit': ucircuit_false,
'compiled_circuit_qasm': None,
'config': {
'coupling_map': None,
'basis_gates': 'u1,u2,u3,cx,id',
'layout': None,
'seed': None
}
}
]
}
q_job = QuantumJob(qobj, backend=QasmSimulatorPy(), preformatted=True)
result = QasmSimulatorPy().run(q_job).result()
result_if_true = result.get_data('test_if_true')
self.log.info('result_if_true circuit:')
self.log.info(circuit_if_true.qasm())
self.log.info('result_if_true=%s', result_if_true)
result_if_false = result.get_data('test_if_false')
self.log.info('result_if_false circuit:')
self.log.info(circuit_if_false.qasm())
self.log.info('result_if_false=%s', result_if_false)
self.assertTrue(result_if_true['counts']['111'] == 100)
self.assertTrue(result_if_false['counts']['001'] == 100)
@unittest.skipIf(version_info.minor == 5, "Due to gate ordering issues with Python 3.5 \
we have to disable this test until fixed")
def test_teleport(self):
"""test teleportation as in tutorials"""
self.log.info('test_teleport')
pi = np.pi
shots = 1000
qp = QuantumProgram()
qr = qp.create_quantum_register('qr', 3)
cr0 = qp.create_classical_register('cr0', 1)
cr1 = qp.create_classical_register('cr1', 1)
cr2 = qp.create_classical_register('cr2', 1)
circuit = qp.create_circuit('teleport', [qr],
[cr0, cr1, cr2])
circuit.h(qr[1])
circuit.cx(qr[1], qr[2])
circuit.ry(pi/4, qr[0])
circuit.cx(qr[0], qr[1])
circuit.h(qr[0])
circuit.barrier(qr)
circuit.measure(qr[0], cr0[0])
circuit.measure(qr[1], cr1[0])
circuit.z(qr[2]).c_if(cr0, 1)
circuit.x(qr[2]).c_if(cr1, 1)
circuit.measure(qr[2], cr2[0])
backend = 'local_qasm_simulator_py'
qobj = qp.compile('teleport', backend=backend, shots=shots,
seed=self.seed)
results = qp.run(qobj)
data = results.get_counts('teleport')
alice = {}
bob = {}
alice['00'] = data['0 0 0'] + data['1 0 0']
alice['01'] = data['0 1 0'] + data['1 1 0']
alice['10'] = data['0 0 1'] + data['1 0 1']
alice['11'] = data['0 1 1'] + data['1 1 1']
bob['0'] = data['0 0 0'] + data['0 1 0'] + data['0 0 1'] + data['0 1 1']
bob['1'] = data['1 0 0'] + data['1 1 0'] + data['1 0 1'] + data['1 1 1']
self.log.info('test_telport: circuit:')
self.log.info(circuit.qasm())
self.log.info('test_teleport: data %s', data)
self.log.info('test_teleport: alice %s', alice)
self.log.info('test_teleport: bob %s', bob)
alice_ratio = 1/np.tan(pi/8)**2
bob_ratio = bob['0']/float(bob['1'])
error = abs(alice_ratio - bob_ratio) / alice_ratio
self.log.info('test_teleport: relative error = %s', error)
self.assertLess(error, 0.05)
@unittest.skipIf(not do_profiling, "skipping simulator profiling.")
def profile_qasm_simulator(self):
"""Profile randomly generated circuits.
Writes profile results to <this_module>.prof as well as recording
to the log file.
number of circuits = 100.
number of operations/circuit in [1, 40]
number of qubits in [1, 5]
"""
seed = 88
shots = 1024
n_circuits = 100
min_depth = 1
max_depth = 40
min_qubits = 1
max_qubits = 5
pr = cProfile.Profile()
random_circuits = RandomQasmGenerator(seed,
min_qubits=min_qubits,
max_qubits=max_qubits,
min_depth=min_depth,
max_depth=max_depth)
random_circuits.add_circuits(n_circuits)
self.qp = random_circuits.get_program()
pr.enable()
self.qp.execute(self.qp.get_circuit_names(),
backend='local_qasm_simulator_py',
shots=shots)
pr.disable()
sout = io.StringIO()
ps = pstats.Stats(pr, stream=sout).sort_stats('cumulative')
self.log.info('------- start profiling QasmSimulatorPy -----------')
ps.print_stats()
self.log.info(sout.getvalue())
self.log.info('------- stop profiling QasmSimulatorPy -----------')
sout.close()
pr.dump_stats(self.moduleName + '.prof')
@unittest.skipIf(not do_profiling, "skipping simulator profiling.")
def profile_nqubit_speed_grow_depth(self):
"""simulation time vs the number of qubits
where the circuit depth is 10x the number of simulated
qubits. Also creates a pdf file with this module name showing a
plot of the results. Compilation is not included in speed.
"""
import matplotlib.pyplot as plt
from matplotlib.ticker import MaxNLocator
qubit_range_max = 15
n_qubit_list = range(1, qubit_range_max + 1)
n_circuits = 10
shots = 1024
seed = 88
max_time = 30 # seconds; timing stops when simulation time exceeds this number
fmt_str1 = 'profile_nqubit_speed::nqubits:{0}, backend:{1}, elapsed_time:{2:.2f}'
fmt_str2 = 'backend:{0}, circuit:{1}, numOps:{2}, result:{3}'
fmt_str3 = 'minDepth={minDepth}, maxDepth={maxDepth}, num circuits={nCircuits},' \
'shots={shots}'
backend_list = ['local_qasm_simulator_py', 'local_unitary_simulator_py']
if shutil.which('qasm_simulator'):
backend_list.append('local_qasm_simulator_cpp')
else:
self.log.info('profile_nqubit_speed::\"qasm_simulator\" executable'
'not in path...skipping')
fig = plt.figure(0)
plt.clf()
ax = fig.add_axes((0.1, 0.25, 0.8, 0.6))
for _, backend in enumerate(backend_list):
elapsed_time = np.zeros(len(n_qubit_list))
if backend == 'local_unitary_simulator_py':
do_measure = False
else:
do_measure = True
j, timed_out = 0, False
while j < qubit_range_max and not timed_out:
n_qubits = n_qubit_list[j]
random_circuits = RandomQasmGenerator(seed,
min_qubits=n_qubits,
max_qubits=n_qubits,
min_depth=n_qubits * 10,
max_depth=n_qubits * 10)
random_circuits.add_circuits(n_circuits, do_measure=do_measure)
qp = random_circuits.get_program()
c_names = qp.get_circuit_names()
qobj = qp.compile(c_names, backend=backend, shots=shots,
seed=seed)
start = time.perf_counter()
results = qp.run(qobj)
stop = time.perf_counter()
elapsed_time[j] = stop - start
if elapsed_time[j] > max_time:
timed_out = True
self.log.info(fmt_str1.format(n_qubits, backend, elapsed_time[j]))
if backend != 'local_unitary_simulator_py':
for name in c_names:
log_str = fmt_str2.format(
backend, name, len(qp.get_circuit(name)),
results.get_data(name))
self.log.info(log_str)
j += 1
ax.xaxis.set_major_locator(MaxNLocator(integer=True))
if backend == 'local_unitary_simulator_py':
ax.plot(n_qubit_list[:j], elapsed_time[:j], label=backend, marker='o')
else:
ax.plot(n_qubit_list[:j], elapsed_time[:j]/shots, label=backend,
marker='o')
ax.set_yscale('log', basey=10)
ax.set_xlabel('number of qubits')
ax.set_ylabel('process time/shot')
ax.set_title('profile_nqubit_speed_grow_depth')
fig.text(0.1, 0.05,
fmt_str3.format(minDepth='10*nQubits', maxDepth='10*nQubits',
nCircuits=n_circuits, shots=shots))
ax.legend()
self.pdf.savefig(fig)
@unittest.skipIf(not do_profiling, "skipping simulator profiling.")
def profile_nqubit_speed_constant_depth(self):
"""simulation time vs the number of qubits
where the circuit depth is fixed at 40. Also creates a pdf file
with this module name showing a plot of the results. Compilation
is not included in speed.
"""
import matplotlib.pyplot as plt
from matplotlib.ticker import MaxNLocator
qubit_range_max = 15
n_qubit_list = range(1, qubit_range_max + 1)
max_depth = 40
min_depth = 40
n_circuits = 10
shots = 1024
seed = 88
max_time = 30 # seconds; timing stops when simulation time exceeds this number
fmt_str1 = 'profile_nqubit_speed::nqubits:{0}, backend:{1},' \
'elapsed_time:{2:.2f}'
fmt_str2 = 'backend:{0}, circuit:{1}, numOps:{2}, result:{3}'
fmt_str3 = 'minDepth={minDepth}, maxDepth={maxDepth},' \
'num circuits={nCircuits}, shots={shots}'
backend_list = ['local_qasm_simulator_py', 'local_unitary_simulator_py']
if shutil.which('qasm_simulator'):
backend_list.append('local_qasm_simulator_cpp')
else:
self.log.info('profile_nqubit_speed::\"qasm_simulator\" executable'
'not in path...skipping')
fig = plt.figure(0)
plt.clf()
ax = fig.add_axes((0.1, 0.2, 0.8, 0.6))
for _, backend in enumerate(backend_list):
elapsedTime = np.zeros(len(n_qubit_list))
if backend == 'local_unitary_simulator_py':
doMeasure = False
else:
doMeasure = True
j, timedOut = 0, False
while j < qubit_range_max and not timedOut:
nQubits = n_qubit_list[j]
randomCircuits = RandomQasmGenerator(seed,
min_qubits=nQubits,
max_qubits=nQubits,
min_depth=min_depth,
max_depth=max_depth)
randomCircuits.add_circuits(n_circuits, do_measure=doMeasure)
qp = randomCircuits.get_program()
cnames = qp.get_circuit_names()
qobj = qp.compile(cnames, backend=backend, shots=shots, seed=seed)
start = time.perf_counter()
results = qp.run(qobj)
stop = time.perf_counter()
elapsedTime[j] = stop - start
if elapsedTime[j] > max_time:
timedOut = True
self.log.info(fmt_str1.format(nQubits, backend, elapsedTime[j]))
if backend != 'local_unitary_simulator_py':
for name in cnames:
log_str = fmt_str2.format(
backend, name, len(qp.get_circuit(name)),
results.get_data(name))
self.log.info(log_str)
j += 1
ax.xaxis.set_major_locator(MaxNLocator(integer=True))
if backend == 'local_unitary_simulator_py':
ax.plot(n_qubit_list[:j], elapsedTime[:j], label=backend, marker='o')
else:
ax.plot(n_qubit_list[:j], elapsedTime[:j]/shots, label=backend,
marker='o')
ax.set_yscale('log', basey=10)
ax.set_xlabel('number of qubits')
ax.set_ylabel('process time/shot')
ax.set_title('profile_nqubit_speed_constant_depth')
fig.text(0.1, 0.05,
fmt_str3.format(minDepth=min_depth, maxDepth=max_depth,
nCircuits=n_circuits, shots=shots))
ax.legend()
self.pdf.savefig(fig)
class UnitarySimulatorSympyTest(QiskitTestCase):
"""Test local unitary simulator sympy."""
def setUp(self):
self.seed = 88
self.qasm_filename = self._get_resource_path('qasm/simple.qasm')
self.qp = QuantumProgram()
def test_unitary_simulator(self):
"""test generation of circuit unitary"""
self.qp.load_qasm_file(self.qasm_filename, name='example')
basis_gates = [] # unroll to base gates
unroller = unroll.Unroller(
qasm.Qasm(data=self.qp.get_qasm('example')).parse(),
unroll.JsonBackend(basis_gates))
circuit = unroller.execute()
# strip measurements from circuit to avoid warnings
circuit['operations'] = [op for op in circuit['operations']
if op['name'] != 'measure']
# the simulator is expecting a JSON format, so we need to convert it
# back to JSON
qobj = {
'id': 'unitary',
'config': {
'max_credits': None,
'shots': 1,
'backend_name': 'local_sympy_unitary_simulator'
},
'circuits': [
{
'name': 'test',
'compiled_circuit': circuit,
'compiled_circuit_qasm': self.qp.get_qasm('example'),
'config': {
'coupling_map': None,
'basis_gates': None,
'layout': None,
'seed': None
}
}
]
}
q_job = QuantumJob(qobj,
backend=UnitarySimulatorSympy(),
preformatted=True)
result = UnitarySimulatorSympy().run(q_job).result()
actual = result.get_data('test')['unitary']
self.assertEqual(actual[0][0], sqrt(2)/2)
self.assertEqual(actual[0][1], sqrt(2)/2)
self.assertEqual(actual[0][2], 0)
self.assertEqual(actual[0][3], 0)
self.assertEqual(actual[1][0], 0)
self.assertEqual(actual[1][1], 0)
self.assertEqual(actual[1][2], sqrt(2)/2)
self.assertEqual(actual[1][3], -sqrt(2)/2)
self.assertEqual(actual[2][0], 0)
self.assertEqual(actual[2][1], 0)
self.assertEqual(actual[2][2], sqrt(2)/2)
self.assertEqual(actual[2][3], sqrt(2)/2)
self.assertEqual(actual[3][0], sqrt(2)/2)
self.assertEqual(actual[3][1], -sqrt(2)/2)
self.assertEqual(actual[3][2], 0)
self.assertEqual(actual[3][3], 0)
[quantum_r[x] for x in range(4)])
composite_gate_2._attach(CnotGate(quantum_r[0], quantum_r[1]))
circuit._attach(composite_gate_2)
circuit.cx(quantum_r[0], quantum_r[1])
circuit.h(quantum_r[0])
composite_gate_3 = CompositeGate("composite3", [],
[quantum_r[x] for x in range(4)])
composite_gate_3._attach(CnotGate(quantum_r[0], quantum_r[1]))
composite_gate_3._attach(CnotGate(quantum_r[0], quantum_r[2]))
circuit._attach(composite_gate_3)
circuit.h(quantum_r[0])
composite_gate_4 = CompositeGate("composite4", [],
[quantum_r[x] for x in range(4)])
composite_gate_4._attach(CnotGate(quantum_r[0], quantum_r[1]))
composite_gate_4._attach(RXGate(0, quantum_r[0]))
composite_gate_4._attach(CnotGate(quantum_r[0], quantum_r[1]))
circuit._attach(composite_gate_4)
print("Removed Zero Rotations: " + str(circuit.remove_zero_rotations()))
print("Removed Double CNOTs: " + str(circuit.remove_double_cnots_once()))
# QASM from a program
QASM_source = Q_program.get_qasm("Circuit")
print(QASM_source)
class LocalUnitarySimulatorTest(QiskitTestCase):
"""Test local unitary simulator."""
def setUp(self):
self.seed = 88
self.qasm_filename = self._get_resource_path('qasm/example.qasm')
self.qp = QuantumProgram()
def tearDown(self):
pass
def test_unitary_simulator(self):
"""test generation of circuit unitary"""
self.qp.load_qasm_file(self.qasm_filename, name='example')
basis_gates = [] # unroll to base gates
unroller = unroll.Unroller(
qasm.Qasm(data=self.qp.get_qasm('example')).parse(),
unroll.JsonBackend(basis_gates))
circuit = unroller.execute()
# strip measurements from circuit to avoid warnings
circuit['operations'] = [op for op in circuit['operations']
if op['name'] != 'measure']
# the simulator is expecting a JSON format, so we need to convert it
# back to JSON
qobj = {
'id': 'unitary',
'config': {
'max_credits': None,
'shots': 1,
'backend_name': 'local_unitary_simulator_py'
},
'circuits': [
{
'name': 'test',
'compiled_circuit': circuit,
'compiled_circuit_qasm': self.qp.get_qasm('example'),
'config': {
'coupling_map': None,
'basis_gates': None,
'layout': None,
'seed': None
}
}
]
}
# numpy.savetxt currently prints complex numbers in a way
# loadtxt can't read. To save file do,
# fmtstr=['% .4g%+.4gj' for i in range(numCols)]
# np.savetxt('example_unitary_matrix.dat', numpyMatrix, fmt=fmtstr,
# delimiter=',')
expected = np.loadtxt(self._get_resource_path('example_unitary_matrix.dat'),
dtype='complex', delimiter=',')
q_job = QuantumJob(qobj,
backend=UnitarySimulatorPy(),
preformatted=True)
result = UnitarySimulatorPy().run(q_job).result()
self.assertTrue(np.allclose(result.get_unitary('test'),
expected,
rtol=1e-3))
def test_two_unitary_simulator(self):
"""test running two circuits
This test is similar to one in test_quantumprogram but doesn't use
multiprocessing.
"""
qr = QuantumRegister(2)
cr = ClassicalRegister(1)
qc1 = QuantumCircuit(qr, cr)
qc2 = QuantumCircuit(qr, cr)
qc1.h(qr)
qc2.cx(qr[0], qr[1])
backend = UnitarySimulatorPy()
qobj = compile([qc1, qc2], backend=backend)
job = backend.run(QuantumJob(qobj, backend=backend, preformatted=True))
unitary1 = job.result().get_unitary(qc1)
unitary2 = job.result().get_unitary(qc2)
unitaryreal1 = np.array([[0.5, 0.5, 0.5, 0.5], [0.5, -0.5, 0.5, -0.5],
[0.5, 0.5, -0.5, -0.5],
[0.5, -0.5, -0.5, 0.5]])
unitaryreal2 = np.array([[1, 0, 0, 0], [0, 0, 0, 1],
[0., 0, 1, 0], [0, 1, 0, 0]])
norm1 = np.trace(np.dot(np.transpose(np.conj(unitaryreal1)), unitary1))
norm2 = np.trace(np.dot(np.transpose(np.conj(unitaryreal2)), unitary2))
self.assertAlmostEqual(norm1, 4)
self.assertAlmostEqual(norm2, 4)
def profile_unitary_simulator(self):
"""Profile randomly generated circuits.
Writes profile results to <this_module>.prof as well as recording
to the log file.
number of circuits = 100.
number of operations/circuit in [1, 40]
number of qubits in [1, 5]
"""
n_circuits = 100
max_depth = 40
max_qubits = 5
pr = cProfile.Profile()
random_circuits = RandomQasmGenerator(seed=self.seed,
max_depth=max_depth,
max_qubits=max_qubits)
random_circuits.add_circuits(n_circuits, do_measure=False)
self.qp = random_circuits.get_program()
pr.enable()
self.qp.execute(self.qp.get_circuit_names(),
backend=UnitarySimulatorPy())
pr.disable()
sout = io.StringIO()
ps = pstats.Stats(pr, stream=sout).sort_stats('cumulative')
self.log.info('------- start profiling UnitarySimulatorPy -----------')
ps.print_stats()
self.log.info(sout.getvalue())
self.log.info('------- stop profiling UnitarySimulatorPy -----------')
sout.close()
pr.dump_stats(self.moduleName + '.prof')
[quantum_r[x] for x in range(4)])
composite_gate_2._attach(CnotGate(quantum_r[0], quantum_r[1]))
circuit._attach(composite_gate_2)
circuit.cx(quantum_r[0], quantum_r[1])
circuit.h(quantum_r[0])
composite_gate_3 = CompositeGate("composite3", [],
[quantum_r[x] for x in range(4)])
composite_gate_3._attach(CnotGate(quantum_r[0], quantum_r[1]))
composite_gate_3._attach(CnotGate(quantum_r[0], quantum_r[2]))
circuit._attach(composite_gate_3)
circuit.h(quantum_r[0])
composite_gate_4 = CompositeGate("composite4", [],
[quantum_r[x] for x in range(4)])
composite_gate_4._attach(CnotGate(quantum_r[0], quantum_r[1]))
composite_gate_4._attach(RXGate(0, quantum_r[0]))
composite_gate_4._attach(CnotGate(quantum_r[0], quantum_r[1]))
circuit._attach(composite_gate_4)
print("Removed Zero Rotations: " + str(circuit.remove_zero_rotations()))
print("Removed Double CNOTs: " + str(circuit.remove_double_cnots_once()))
# QASM from a program
QASM_source = Q_program.get_qasm("Circuit")
print(QASM_source)
qc.h(x0)
qc.h(x1)
qc.x(x0)
qc.x(x1)
qc.h(x1)
qc.cx(x0, x1)
qc.h(x1)
qc.x(x0)
qc.x(x1)
qc.h(x0)
qc.h(x1)
qc.h(q)
testtiffoli(tiffoli)
b0 = qr[0]
b1 = qr[2]
b2 = qr[1]
qc.x(b2) #put b2 in state |1>
qc.h(b0) #put b0 in (|0>+|1>)/sqrt(2)
qc.h(b1) #put b1 in (|0>+|1>)/sqrt(2)
qc.h(b2) #put b2 in state (|0>-|1>)/sqrt(2)
for i in range(1): #apply the oracle/grover operator in a loop
grover(tiffoli2, qc, b0, b1, b2)
qc.measure(qr, cr)
result = Q.execute(["andgate"], backend="local_qasm_simulator", shots=1000)
print(result)
print(result.get_data("andgate"))
print(Q.get_qasm("andgate"))
def test_if_statement(self):
self.log.info('test_if_statement_x')
shots = 100
max_qubits = 3
qp = QuantumProgram()
qr = qp.create_quantum_register('qr', max_qubits)
cr = qp.create_classical_register('cr', max_qubits)
circuit_if_true = qp.create_circuit('test_if_true', [qr], [cr])
circuit_if_true.x(qr[0])
circuit_if_true.x(qr[1])
circuit_if_true.measure(qr[0], cr[0])
circuit_if_true.measure(qr[1], cr[1])
circuit_if_true.x(qr[2]).c_if(cr, 0x3)
circuit_if_true.measure(qr[0], cr[0])
circuit_if_true.measure(qr[1], cr[1])
circuit_if_true.measure(qr[2], cr[2])
circuit_if_false = qp.create_circuit('test_if_false', [qr], [cr])
circuit_if_false.x(qr[0])
circuit_if_false.measure(qr[0], cr[0])
circuit_if_false.measure(qr[1], cr[1])
circuit_if_false.x(qr[2]).c_if(cr, 0x3)
circuit_if_false.measure(qr[0], cr[0])
circuit_if_false.measure(qr[1], cr[1])
circuit_if_false.measure(qr[2], cr[2])
basis_gates = [] # unroll to base gates
unroller = unroll.Unroller(
qasm.Qasm(data=qp.get_qasm('test_if_true')).parse(),
unroll.JsonBackend(basis_gates))
ucircuit_true = unroller.execute()
unroller = unroll.Unroller(
qasm.Qasm(data=qp.get_qasm('test_if_false')).parse(),
unroll.JsonBackend(basis_gates))
ucircuit_false = unroller.execute()
config = {'shots': shots, 'seed': self.seed}
qobj = {'id': 'test_if_qobj',
'config': {
'max_credits': 3,
'shots': shots,
'backend': 'local_qasm_simulator',
},
'circuits': [
{
'name': 'test_if_true',
'compiled_circuit': ucircuit_true,
'compiled_circuit_qasm': None,
'config': {'coupling_map': None,
'basis_gates': 'u1,u2,u3,cx,id',
'layout': None,
'seed': None
}
},
{
'name': 'test_if_false',
'compiled_circuit': ucircuit_false,
'compiled_circuit_qasm': None,
'config': {'coupling_map': None,
'basis_gates': 'u1,u2,u3,cx,id',
'layout': None,
'seed': None
}
}
]
}
q_job = QuantumJob(qobj, preformatted=True)
result = QasmSimulator().run(q_job)
result_if_true = result.get_data('test_if_true')
self.log.info('result_if_true circuit:')
self.log.info(circuit_if_true.qasm())
self.log.info('result_if_true={0}'.format(result_if_true))
result_if_false = result.get_data('test_if_false')
self.log.info('result_if_false circuit:')
self.log.info(circuit_if_false.qasm())
self.log.info('result_if_false={0}'.format(result_if_false))
self.assertTrue(result_if_true['counts']['111'] == 100)
self.assertTrue(result_if_false['counts']['001'] == 100)
# Create a Quantum Circuit
qc = qp.create_circuit('helloworld', [qbyte], [cbyte])
# Add a H gate on qubit 0, putting this qubit in superposition.
#qc.h(q[1])
#qc.h(q[2])
# Add a CX (CNOT) gate on control qubit 0 and target qubit 1, putting
# the qubits in a Bell state.
#qc.cx(q[0], q[1])
# Measure
for i in range(0, 8):
qc.measure(qbyte[i], cbyte[i])
print(qp.get_qasm('helloworld'))
"""
# See a list of available local simulators
print("Local backends: ", available_backends({'local': True}))
# Compile and run the Quantum circuit on a simulator backend
job_sim = execute(qc, "local_qasm_simulator")
sim_result = job_sim.result()
# Show the results
print("simulation: ", sim_result)
print(sim_result.get_counts(qc))
# Draw the circuit
#circuit_drawer(qc, filename='./test_circuit.png')
#diagram = circuit_drawer(qc)
def test_if_statement(self):
self.log.info('test_if_statement_x')
shots = 100
max_qubits = 3
qp = QuantumProgram()
qr = qp.create_quantum_register('qr', max_qubits)
cr = qp.create_classical_register('cr', max_qubits)
circuit_if_true = qp.create_circuit('test_if_true', [qr], [cr])
circuit_if_true.x(qr[0])
circuit_if_true.x(qr[1])
circuit_if_true.measure(qr[0], cr[0])
circuit_if_true.measure(qr[1], cr[1])
circuit_if_true.x(qr[2]).c_if(cr, 0x3)
circuit_if_true.measure(qr[0], cr[0])
circuit_if_true.measure(qr[1], cr[1])
circuit_if_true.measure(qr[2], cr[2])
circuit_if_false = qp.create_circuit('test_if_false', [qr], [cr])
circuit_if_false.x(qr[0])
circuit_if_false.measure(qr[0], cr[0])
circuit_if_false.measure(qr[1], cr[1])
circuit_if_false.x(qr[2]).c_if(cr, 0x3)
circuit_if_false.measure(qr[0], cr[0])
circuit_if_false.measure(qr[1], cr[1])
circuit_if_false.measure(qr[2], cr[2])
basis_gates = [] # unroll to base gates
unroller = unroll.Unroller(
qasm.Qasm(data=qp.get_qasm('test_if_true')).parse(),
unroll.JsonBackend(basis_gates))
ucircuit_true = unroller.execute()
unroller = unroll.Unroller(
qasm.Qasm(data=qp.get_qasm('test_if_false')).parse(),
unroll.JsonBackend(basis_gates))
ucircuit_false = unroller.execute()
qobj = {
'id':
'test_if_qobj',
'config': {
'max_credits': 3,
'shots': shots,
'backend_name': 'local_qasm_simulator_py',
},
'circuits': [{
'name': 'test_if_true',
'compiled_circuit': ucircuit_true,
'compiled_circuit_qasm': None,
'config': {
'coupling_map': None,
'basis_gates': 'u1,u2,u3,cx,id',
'layout': None,
'seed': None
}
}, {
'name': 'test_if_false',
'compiled_circuit': ucircuit_false,
'compiled_circuit_qasm': None,
'config': {
'coupling_map': None,
'basis_gates': 'u1,u2,u3,cx,id',
'layout': None,
'seed': None
}
}]
}
q_job = QuantumJob(qobj, backend=QasmSimulatorPy(), preformatted=True)
result = QasmSimulatorPy().run(q_job).result()
result_if_true = result.get_data('test_if_true')
self.log.info('result_if_true circuit:')
self.log.info(circuit_if_true.qasm())
self.log.info('result_if_true=%s', result_if_true)
result_if_false = result.get_data('test_if_false')
self.log.info('result_if_false circuit:')
self.log.info(circuit_if_false.qasm())
self.log.info('result_if_false=%s', result_if_false)
self.assertTrue(result_if_true['counts']['111'] == 100)
self.assertTrue(result_if_false['counts']['001'] == 100)
local_backends()
backend = 'local_qasm_simulator'
qp = QuantumProgram()
qp.set_api(Qconfig.APItoken, Qconfig.config['url'])
qr = qp.create_quantum_register('qr', 2)
cr = qp.create_classical_register('cr', 2)
qc = qp.create_circuit('Bell', [qr], [cr])
qc.h(qr[0])
qc.cx(qr[0], qr[1])
qc.measure(qr[0], cr[0])
qc.measure(qr[1], cr[1])
source = qp.get_qasm('Bell')
print(source)
#result = qp.execute('Bell')
circuits = ['Bell']
qobj = qp.compile(circuits, backend)
result = qp.run(qobj, wait=2, timeout=240)
#print(result.get_counts('Bell'))
pprint(qp.available_backends())
class TestLocalQasmSimulatorPy(QiskitTestCase):
"""Test local_qasm_simulator_py."""
@classmethod
def setUpClass(cls):
super().setUpClass()
if do_profiling:
cls.pdf = PdfPages(cls.moduleName + '.pdf')
@classmethod
def tearDownClass(cls):
if do_profiling:
cls.pdf.close()
def setUp(self):
self.seed = 88
self.qasm_filename = self._get_resource_path('qasm/example.qasm')
self.qp = QuantumProgram()
self.qp.load_qasm_file(self.qasm_filename, name='example')
basis_gates = [] # unroll to base gates
unroller = unroll.Unroller(
qasm.Qasm(data=self.qp.get_qasm('example')).parse(),
unroll.JsonBackend(basis_gates))
circuit = unroller.execute()
circuit_config = {
'coupling_map': None,
'basis_gates': 'u1,u2,u3,cx,id',
'layout': None,
'seed': self.seed
}
resources = {'max_credits': 3}
self.qobj = {
'id':
'test_sim_single_shot',
'config': {
'max_credits': resources['max_credits'],
'shots': 1024,
'backend_name': 'local_qasm_simulator_py',
},
'circuits': [{
'name': 'test',
'compiled_circuit': circuit,
'compiled_circuit_qasm': None,
'config': circuit_config
}]
}
self.q_job = QuantumJob(self.qobj,
backend=QasmSimulatorPy(),
circuit_config=circuit_config,
seed=self.seed,
resources=resources,
preformatted=True)
def tearDown(self):
pass
def test_qasm_simulator_single_shot(self):
"""Test single shot run."""
shots = 1
self.qobj['config']['shots'] = shots
result = QasmSimulatorPy().run(self.q_job).result()
self.assertEqual(result.get_status(), 'COMPLETED')
def test_qasm_simulator(self):
"""Test data counts output for single circuit run against reference."""
result = QasmSimulatorPy().run(self.q_job).result()
shots = 1024
threshold = 0.04 * shots
counts = result.get_counts('test')
target = {
'100 100': shots / 8,
'011 011': shots / 8,
'101 101': shots / 8,
'111 111': shots / 8,
'000 000': shots / 8,
'010 010': shots / 8,
'110 110': shots / 8,
'001 001': shots / 8
}
self.assertDictAlmostEqual(counts, target, threshold)
def test_if_statement(self):
self.log.info('test_if_statement_x')
shots = 100
max_qubits = 3
qp = QuantumProgram()
qr = qp.create_quantum_register('qr', max_qubits)
cr = qp.create_classical_register('cr', max_qubits)
circuit_if_true = qp.create_circuit('test_if_true', [qr], [cr])
circuit_if_true.x(qr[0])
circuit_if_true.x(qr[1])
circuit_if_true.measure(qr[0], cr[0])
circuit_if_true.measure(qr[1], cr[1])
circuit_if_true.x(qr[2]).c_if(cr, 0x3)
circuit_if_true.measure(qr[0], cr[0])
circuit_if_true.measure(qr[1], cr[1])
circuit_if_true.measure(qr[2], cr[2])
circuit_if_false = qp.create_circuit('test_if_false', [qr], [cr])
circuit_if_false.x(qr[0])
circuit_if_false.measure(qr[0], cr[0])
circuit_if_false.measure(qr[1], cr[1])
circuit_if_false.x(qr[2]).c_if(cr, 0x3)
circuit_if_false.measure(qr[0], cr[0])
circuit_if_false.measure(qr[1], cr[1])
circuit_if_false.measure(qr[2], cr[2])
basis_gates = [] # unroll to base gates
unroller = unroll.Unroller(
qasm.Qasm(data=qp.get_qasm('test_if_true')).parse(),
unroll.JsonBackend(basis_gates))
ucircuit_true = unroller.execute()
unroller = unroll.Unroller(
qasm.Qasm(data=qp.get_qasm('test_if_false')).parse(),
unroll.JsonBackend(basis_gates))
ucircuit_false = unroller.execute()
qobj = {
'id':
'test_if_qobj',
'config': {
'max_credits': 3,
'shots': shots,
'backend_name': 'local_qasm_simulator_py',
},
'circuits': [{
'name': 'test_if_true',
'compiled_circuit': ucircuit_true,
'compiled_circuit_qasm': None,
'config': {
'coupling_map': None,
'basis_gates': 'u1,u2,u3,cx,id',
'layout': None,
'seed': None
}
}, {
'name': 'test_if_false',
'compiled_circuit': ucircuit_false,
'compiled_circuit_qasm': None,
'config': {
'coupling_map': None,
'basis_gates': 'u1,u2,u3,cx,id',
'layout': None,
'seed': None
}
}]
}
q_job = QuantumJob(qobj, backend=QasmSimulatorPy(), preformatted=True)
result = QasmSimulatorPy().run(q_job).result()
result_if_true = result.get_data('test_if_true')
self.log.info('result_if_true circuit:')
self.log.info(circuit_if_true.qasm())
self.log.info('result_if_true=%s', result_if_true)
result_if_false = result.get_data('test_if_false')
self.log.info('result_if_false circuit:')
self.log.info(circuit_if_false.qasm())
self.log.info('result_if_false=%s', result_if_false)
self.assertTrue(result_if_true['counts']['111'] == 100)
self.assertTrue(result_if_false['counts']['001'] == 100)
@unittest.skipIf(version_info.minor == 5,
"Due to gate ordering issues with Python 3.5 \
we have to disable this test until fixed"
)
def test_teleport(self):
"""test teleportation as in tutorials"""
self.log.info('test_teleport')
pi = np.pi
shots = 1000
qp = QuantumProgram()
qr = qp.create_quantum_register('qr', 3)
cr0 = qp.create_classical_register('cr0', 1)
cr1 = qp.create_classical_register('cr1', 1)
cr2 = qp.create_classical_register('cr2', 1)
circuit = qp.create_circuit('teleport', [qr], [cr0, cr1, cr2])
circuit.h(qr[1])
circuit.cx(qr[1], qr[2])
circuit.ry(pi / 4, qr[0])
circuit.cx(qr[0], qr[1])
circuit.h(qr[0])
circuit.barrier(qr)
circuit.measure(qr[0], cr0[0])
circuit.measure(qr[1], cr1[0])
circuit.z(qr[2]).c_if(cr0, 1)
circuit.x(qr[2]).c_if(cr1, 1)
circuit.measure(qr[2], cr2[0])
backend = 'local_qasm_simulator_py'
qobj = qp.compile('teleport',
backend=backend,
shots=shots,
seed=self.seed)
results = qp.run(qobj)
data = results.get_counts('teleport')
alice = {}
bob = {}
alice['00'] = data['0 0 0'] + data['1 0 0']
alice['01'] = data['0 1 0'] + data['1 1 0']
alice['10'] = data['0 0 1'] + data['1 0 1']
alice['11'] = data['0 1 1'] + data['1 1 1']
bob['0'] = data['0 0 0'] + data['0 1 0'] + data['0 0 1'] + data['0 1 1']
bob['1'] = data['1 0 0'] + data['1 1 0'] + data['1 0 1'] + data['1 1 1']
self.log.info('test_telport: circuit:')
self.log.info(circuit.qasm())
self.log.info('test_teleport: data %s', data)
self.log.info('test_teleport: alice %s', alice)
self.log.info('test_teleport: bob %s', bob)
alice_ratio = 1 / np.tan(pi / 8)**2
bob_ratio = bob['0'] / float(bob['1'])
error = abs(alice_ratio - bob_ratio) / alice_ratio
self.log.info('test_teleport: relative error = %s', error)
self.assertLess(error, 0.05)
@unittest.skipIf(not do_profiling, "skipping simulator profiling.")
def profile_qasm_simulator(self):
"""Profile randomly generated circuits.
Writes profile results to <this_module>.prof as well as recording
to the log file.
number of circuits = 100.
number of operations/circuit in [1, 40]
number of qubits in [1, 5]
"""
seed = 88
shots = 1024
n_circuits = 100
min_depth = 1
max_depth = 40
min_qubits = 1
max_qubits = 5
pr = cProfile.Profile()
random_circuits = RandomQasmGenerator(seed,
min_qubits=min_qubits,
max_qubits=max_qubits,
min_depth=min_depth,
max_depth=max_depth)
random_circuits.add_circuits(n_circuits)
self.qp = random_circuits.get_program()
pr.enable()
self.qp.execute(self.qp.get_circuit_names(),
backend='local_qasm_simulator_py',
shots=shots)
pr.disable()
sout = io.StringIO()
ps = pstats.Stats(pr, stream=sout).sort_stats('cumulative')
self.log.info('------- start profiling QasmSimulatorPy -----------')
ps.print_stats()
self.log.info(sout.getvalue())
self.log.info('------- stop profiling QasmSimulatorPy -----------')
sout.close()
pr.dump_stats(self.moduleName + '.prof')
@unittest.skipIf(not do_profiling, "skipping simulator profiling.")
def profile_nqubit_speed_grow_depth(self):
"""simulation time vs the number of qubits
where the circuit depth is 10x the number of simulated
qubits. Also creates a pdf file with this module name showing a
plot of the results. Compilation is not included in speed.
"""
import matplotlib.pyplot as plt
from matplotlib.ticker import MaxNLocator
qubit_range_max = 15
n_qubit_list = range(1, qubit_range_max + 1)
n_circuits = 10
shots = 1024
seed = 88
max_time = 30 # seconds; timing stops when simulation time exceeds this number
fmt_str1 = 'profile_nqubit_speed::nqubits:{0}, backend:{1}, elapsed_time:{2:.2f}'
fmt_str2 = 'backend:{0}, circuit:{1}, numOps:{2}, result:{3}'
fmt_str3 = 'minDepth={minDepth}, maxDepth={maxDepth}, num circuits={nCircuits},' \
'shots={shots}'
backend_list = [
'local_qasm_simulator_py', 'local_unitary_simulator_py'
]
if shutil.which('qasm_simulator'):
backend_list.append('local_qasm_simulator_cpp')
else:
self.log.info('profile_nqubit_speed::\"qasm_simulator\" executable'
'not in path...skipping')
fig = plt.figure(0)
plt.clf()
ax = fig.add_axes((0.1, 0.25, 0.8, 0.6))
for _, backend in enumerate(backend_list):
elapsed_time = np.zeros(len(n_qubit_list))
if backend == 'local_unitary_simulator_py':
do_measure = False
else:
do_measure = True
j, timed_out = 0, False
while j < qubit_range_max and not timed_out:
n_qubits = n_qubit_list[j]
random_circuits = RandomQasmGenerator(seed,
min_qubits=n_qubits,
max_qubits=n_qubits,
min_depth=n_qubits * 10,
max_depth=n_qubits * 10)
random_circuits.add_circuits(n_circuits, do_measure=do_measure)
qp = random_circuits.get_program()
c_names = qp.get_circuit_names()
qobj = qp.compile(c_names,
backend=backend,
shots=shots,
seed=seed)
start = time.perf_counter()
results = qp.run(qobj)
stop = time.perf_counter()
elapsed_time[j] = stop - start
if elapsed_time[j] > max_time:
timed_out = True
self.log.info(
fmt_str1.format(n_qubits, backend, elapsed_time[j]))
if backend != 'local_unitary_simulator_py':
for name in c_names:
log_str = fmt_str2.format(backend, name,
len(qp.get_circuit(name)),
results.get_data(name))
self.log.info(log_str)
j += 1
ax.xaxis.set_major_locator(MaxNLocator(integer=True))
if backend == 'local_unitary_simulator_py':
ax.plot(n_qubit_list[:j],
elapsed_time[:j],
label=backend,
marker='o')
else:
ax.plot(n_qubit_list[:j],
elapsed_time[:j] / shots,
label=backend,
marker='o')
ax.set_yscale('log', basey=10)
ax.set_xlabel('number of qubits')
ax.set_ylabel('process time/shot')
ax.set_title('profile_nqubit_speed_grow_depth')
fig.text(
0.1, 0.05,
fmt_str3.format(minDepth='10*nQubits',
maxDepth='10*nQubits',
nCircuits=n_circuits,
shots=shots))
ax.legend()
self.pdf.savefig(fig)
@unittest.skipIf(not do_profiling, "skipping simulator profiling.")
def profile_nqubit_speed_constant_depth(self):
"""simulation time vs the number of qubits
where the circuit depth is fixed at 40. Also creates a pdf file
with this module name showing a plot of the results. Compilation
is not included in speed.
"""
import matplotlib.pyplot as plt
from matplotlib.ticker import MaxNLocator
qubit_range_max = 15
n_qubit_list = range(1, qubit_range_max + 1)
max_depth = 40
min_depth = 40
n_circuits = 10
shots = 1024
seed = 88
max_time = 30 # seconds; timing stops when simulation time exceeds this number
fmt_str1 = 'profile_nqubit_speed::nqubits:{0}, backend:{1},' \
'elapsed_time:{2:.2f}'
fmt_str2 = 'backend:{0}, circuit:{1}, numOps:{2}, result:{3}'
fmt_str3 = 'minDepth={minDepth}, maxDepth={maxDepth},' \
'num circuits={nCircuits}, shots={shots}'
backend_list = [
'local_qasm_simulator_py', 'local_unitary_simulator_py'
]
if shutil.which('qasm_simulator'):
backend_list.append('local_qasm_simulator_cpp')
else:
self.log.info('profile_nqubit_speed::\"qasm_simulator\" executable'
'not in path...skipping')
fig = plt.figure(0)
plt.clf()
ax = fig.add_axes((0.1, 0.2, 0.8, 0.6))
for _, backend in enumerate(backend_list):
elapsedTime = np.zeros(len(n_qubit_list))
if backend == 'local_unitary_simulator_py':
doMeasure = False
else:
doMeasure = True
j, timedOut = 0, False
while j < qubit_range_max and not timedOut:
nQubits = n_qubit_list[j]
randomCircuits = RandomQasmGenerator(seed,
min_qubits=nQubits,
max_qubits=nQubits,
min_depth=min_depth,
max_depth=max_depth)
randomCircuits.add_circuits(n_circuits, do_measure=doMeasure)
qp = randomCircuits.get_program()
cnames = qp.get_circuit_names()
qobj = qp.compile(cnames,
backend=backend,
shots=shots,
seed=seed)
start = time.perf_counter()
results = qp.run(qobj)
stop = time.perf_counter()
elapsedTime[j] = stop - start
if elapsedTime[j] > max_time:
timedOut = True
self.log.info(fmt_str1.format(nQubits, backend,
elapsedTime[j]))
if backend != 'local_unitary_simulator_py':
for name in cnames:
log_str = fmt_str2.format(backend, name,
len(qp.get_circuit(name)),
results.get_data(name))
self.log.info(log_str)
j += 1
ax.xaxis.set_major_locator(MaxNLocator(integer=True))
if backend == 'local_unitary_simulator_py':
ax.plot(n_qubit_list[:j],
elapsedTime[:j],
label=backend,
marker='o')
else:
ax.plot(n_qubit_list[:j],
elapsedTime[:j] / shots,
label=backend,
marker='o')
ax.set_yscale('log', basey=10)
ax.set_xlabel('number of qubits')
ax.set_ylabel('process time/shot')
ax.set_title('profile_nqubit_speed_constant_depth')
fig.text(
0.1, 0.05,
fmt_str3.format(minDepth=min_depth,
maxDepth=max_depth,
nCircuits=n_circuits,
shots=shots))
ax.legend()
self.pdf.savefig(fig)
class LocalUnitarySimulatorTest(unittest.TestCase):
"""Test local unitary simulator."""
@classmethod
def setUpClass(cls):
cls.moduleName = os.path.splitext(__file__)[0]
cls.log = logging.getLogger(__name__)
cls.log.setLevel(logging.INFO)
logFileName = cls.moduleName + '.log'
handler = logging.FileHandler(logFileName)
handler.setLevel(logging.INFO)
log_fmt = ('{}.%(funcName)s:%(levelname)s:%(asctime)s:'
' %(message)s'.format(cls.__name__))
formatter = logging.Formatter(log_fmt)
handler.setFormatter(formatter)
cls.log.addHandler(handler)
def setUp(self):
self.seed = 88
self.qasmFileName = os.path.join(qiskit.__path__[0],
'../test/python/qasm/example.qasm')
self.modulePath = os.path.dirname(__file__)
self.qp = QuantumProgram()
def tearDown(self):
pass
def test_unitary_simulator(self):
"""test generation of circuit unitary"""
shots = 1024
self.qp.load_qasm_file(self.qasmFileName, name='example')
basis_gates = [] # unroll to base gates
unroller = unroll.Unroller(
qasm.Qasm(data=self.qp.get_qasm("example")).parse(),
unroll.JsonBackend(basis_gates))
circuit = unroller.execute()
# if we want to manipulate the circuit, we have to convert it to a dict
circuit = json.loads(circuit.decode())
#strip measurements from circuit to avoid warnings
circuit['operations'] = [
op for op in circuit['operations'] if op['name'] != 'measure'
]
# the simulator is expecting a JSON format, so we need to convert it back to JSON
job = {'compiled_circuit': json.dumps(circuit).encode()}
# numpy savetxt is currently prints complex numbers in a way
# loadtxt can't read. To save file do,
# fmtstr=['% .4g%+.4gj' for i in range(numCols)]
# np.savetxt('example_unitary_matrix.dat', numpyMatrix, fmt=fmtstr, delimiter=',')
expected = np.loadtxt(os.path.join(self.modulePath,
'example_unitary_matrix.dat'),
dtype='complex',
delimiter=',')
result = UnitarySimulator(job).run()
self.assertTrue(
np.allclose(result['data']['unitary'], expected, rtol=1e-3))
def profile_unitary_simulator(self):
"""Profile randomly generated circuits.
Writes profile results to <this_module>.prof as well as recording
to the log file.
number of circuits = 100.
number of operations/circuit in [1, 40]
number of qubits in [1, 5]
"""
nCircuits = 100
maxDepth = 40
maxQubits = 5
pr = cProfile.Profile()
randomCircuits = RandomQasmGenerator(seed=self.seed,
maxDepth=maxDepth,
maxQubits=maxQubits)
randomCircuits.add_circuits(nCircuits, doMeasure=False)
self.qp = randomCircuits.getProgram()
pr.enable()
self.qp.execute(self.qp.get_circuit_names(),
backend='local_unitary_simulator')
pr.disable()
sout = io.StringIO()
ps = pstats.Stats(pr, stream=sout).sort_stats('cumulative')
self.log.info('------- start profiling UnitarySimulator -----------')
ps.print_stats()
self.log.info(sout.getvalue())
self.log.info('------- stop profiling UnitarySimulator -----------')
sout.close()
pr.dump_stats(self.moduleName + '.prof')
1 / math.sqrt(8) * complex(0, 1),
0,
0,
0,
0,
1 / math.sqrt(4) * complex(1, 0),
1 / math.sqrt(8) * complex(1, 0)]
circuit.initialize(desired_vector, [qr[0], qr[1], qr[2], qr[3]])
circuit.measure(qr[0], cr[0])
circuit.measure(qr[1], cr[1])
circuit.measure(qr[2], cr[2])
circuit.measure(qr[3], cr[3])
QASM_source = Q_program.get_qasm("initializer_circ")
print(QASM_source)
plot_circuit(circuit)
###############################################################
# Set the backend name and coupling map.
###############################################################
device = 'ibmqx2'
coupling_map = {0: [1, 2],
1: [2],
2: [],
3: [2, 4],
4: [2]}
circuits = ['initializer_circ']
shots = 1024
class LocalUnitarySimulatorTest(QiskitTestCase):
"""Test local unitary simulator."""
def setUp(self):
self.seed = 88
self.qasm_filename = self._get_resource_path('qasm/example.qasm')
self.qp = QuantumProgram()
def tearDown(self):
pass
def test_unitary_simulator(self):
"""test generation of circuit unitary"""
self.qp.load_qasm_file(self.qasm_filename, name='example')
basis_gates = [] # unroll to base gates
unroller = unroll.Unroller(
qasm.Qasm(data=self.qp.get_qasm('example')).parse(),
unroll.JsonBackend(basis_gates))
circuit = unroller.execute()
# strip measurements from circuit to avoid warnings
circuit['operations'] = [
op for op in circuit['operations'] if op['name'] != 'measure'
]
# the simulator is expecting a JSON format, so we need to convert it
# back to JSON
qobj = {
'id':
'unitary',
'config': {
'max_credits': None,
'shots': 1,
'backend_name': 'local_unitary_simulator_py'
},
'circuits': [{
'name': 'test',
'compiled_circuit': circuit,
'compiled_circuit_qasm': self.qp.get_qasm('example'),
'config': {
'coupling_map': None,
'basis_gates': None,
'layout': None,
'seed': None
}
}]
}
# numpy.savetxt currently prints complex numbers in a way
# loadtxt can't read. To save file do,
# fmtstr=['% .4g%+.4gj' for i in range(numCols)]
# np.savetxt('example_unitary_matrix.dat', numpyMatrix, fmt=fmtstr,
# delimiter=',')
expected = np.loadtxt(
self._get_resource_path('example_unitary_matrix.dat'),
dtype='complex',
delimiter=',')
q_job = QuantumJob(qobj,
backend=UnitarySimulatorPy(),
preformatted=True)
result = UnitarySimulatorPy().run(q_job).result()
self.assertTrue(
np.allclose(result.get_unitary('test'), expected, rtol=1e-3))
def test_two_unitary_simulator(self):
"""test running two circuits
This test is similar to one in test_quantumprogram but doesn't use
multiprocessing.
"""
qr = QuantumRegister(2)
cr = ClassicalRegister(1)
qc1 = QuantumCircuit(qr, cr)
qc2 = QuantumCircuit(qr, cr)
qc1.h(qr)
qc2.cx(qr[0], qr[1])
backend = UnitarySimulatorPy()
qobj = compile([qc1, qc2], backend=backend)
job = backend.run(QuantumJob(qobj, backend=backend, preformatted=True))
unitary1 = job.result().get_unitary(qc1)
unitary2 = job.result().get_unitary(qc2)
unitaryreal1 = np.array([[0.5, 0.5, 0.5, 0.5], [0.5, -0.5, 0.5, -0.5],
[0.5, 0.5, -0.5, -0.5],
[0.5, -0.5, -0.5, 0.5]])
unitaryreal2 = np.array([[1, 0, 0, 0], [0, 0, 0, 1], [0., 0, 1, 0],
[0, 1, 0, 0]])
norm1 = np.trace(np.dot(np.transpose(np.conj(unitaryreal1)), unitary1))
norm2 = np.trace(np.dot(np.transpose(np.conj(unitaryreal2)), unitary2))
self.assertAlmostEqual(norm1, 4)
self.assertAlmostEqual(norm2, 4)
def profile_unitary_simulator(self):
"""Profile randomly generated circuits.
Writes profile results to <this_module>.prof as well as recording
to the log file.
number of circuits = 100.
number of operations/circuit in [1, 40]
number of qubits in [1, 5]
"""
n_circuits = 100
max_depth = 40
max_qubits = 5
pr = cProfile.Profile()
random_circuits = RandomQasmGenerator(seed=self.seed,
max_depth=max_depth,
max_qubits=max_qubits)
random_circuits.add_circuits(n_circuits, do_measure=False)
self.qp = random_circuits.get_program()
pr.enable()
self.qp.execute(self.qp.get_circuit_names(),
backend=UnitarySimulatorPy())
pr.disable()
sout = io.StringIO()
ps = pstats.Stats(pr, stream=sout).sort_stats('cumulative')
self.log.info('------- start profiling UnitarySimulatorPy -----------')
ps.print_stats()
self.log.info(sout.getvalue())
self.log.info('------- stop profiling UnitarySimulatorPy -----------')
sout.close()
pr.dump_stats(self.moduleName + '.prof')
desired_vector = [
1 / math.sqrt(4) * complex(0, 1), 1 / math.sqrt(8) * complex(1, 0), 0, 0,
0, 0, 0, 0, 1 / math.sqrt(8) * complex(1, 0),
1 / math.sqrt(8) * complex(0, 1), 0, 0, 0, 0,
1 / math.sqrt(4) * complex(1, 0), 1 / math.sqrt(8) * complex(1, 0)
]
circuit.initialize("QInit", desired_vector, [qr[0], qr[1], qr[2], qr[3]])
circuit.measure(qr[0], cr[0])
circuit.measure(qr[1], cr[1])
circuit.measure(qr[2], cr[2])
circuit.measure(qr[3], cr[3])
QASM_source = Q_program.get_qasm("initializer_circ")
print(QASM_source)
###############################################################
# Set the backend name and coupling map.
###############################################################
device = 'ibmqx2'
coupling_map = {0: [1, 2], 1: [2], 2: [], 3: [2, 4], 4: [2]}
circuits = ['initializer_circ']
shots = 1024
###############################################################
# Set up the API and execute the program.
###############################################################
Q_program.set_api(Qconfig.APItoken, Qconfig.config["url"])
