def parityCircuitCheating(cheating=False, cheatingType=0):
if cheating:
# Cheating operator
c1 = cheatingMatrices()[cheatingType]
else:
c1 = np.identity(2)
id_op = Operator(c1)
truthtable = "10011001"
oracle = TruthTableOracle(truthtable)
or_cx = oracle.construct_circuit()
# print(oracle.output_register)
v = oracle.variable_register
o = oracle.output_register
cr1 = ClassicalRegister(3)
cr2 = ClassicalRegister(1)
cx_circ = QuantumCircuit(v, cr2)
or_cx.add_register(cr1)
cx_circ.h(v[1])
cx_circ.cx(v[1], v[0])
cx_circ.unitary(id_op, v[cheatingType+1:cheatingType+2], label='idop')
total_cx = cx_circ + or_cx
total_cx.measure(v, cr1)
total_cx.measure(o, cr2)
return total_cx
def create_grover(oracle_type, oracle_method):
# Build the circuit
if oracle_method=="log":
algorithm = Grover(LogicalExpressionOracle(oracle_type),num_iterations=num_iterations)
oracle_circuit = Grover(LogicalExpressionOracle(oracle_type)).construct_circuit()
else:
algorithm = Grover(TruthTableOracle(oracle_type),num_iterations=num_iterations)
oracle_circuit = Grover(TruthTableOracle(oracle_type)).construct_circuit()
display(oracle_circuit.draw(output="mpl"))
display(algorithm)
return(algorithm)
def test_simon(self, simon_input, mct_mode, optimization, simulator):
""" Simon test """
# find the two keys that have matching values
nbits = int(math.log(len(simon_input[0]), 2))
vals = list(zip(*simon_input))[::-1]
def find_pair():
for i, val in enumerate(vals):
for j in range(i + 1, len(vals)):
if val == vals[j]:
return i, j
return 0, 0
k_1, k_2 = find_pair()
hidden = np.binary_repr(k_1 ^ k_2, nbits)
backend = BasicAer.get_backend(simulator)
oracle = TruthTableOracle(simon_input,
optimization=optimization,
mct_mode=mct_mode)
algorithm = Simon(oracle)
quantum_instance = QuantumInstance(backend)
result = algorithm.run(quantum_instance=quantum_instance)
# print(result['circuit'].draw(line_length=10000))
self.assertEqual(result['result'], hidden)
def get_circuit(**kwargs):
oracle_string = kwargs[
"oracle"] # input is binary String of a truth table, like '1000': A & B = 0 => f(x*) = 1
oracle = TruthTableOracle(oracle_string)
grover = Grover(oracle)
grover_circuit = grover.construct_circuit(measurement=True)
return grover_circuit
def get_circuit(**kwargs):
oracle_string = kwargs[
"s"] # input is binary String of a truth table, like '1000'
oracle = TruthTableOracle(oracle_string)
simon = Simon(oracle)
simon_circuit = simon.construct_circuit(measurement=True)
return simon_circuit
def grover_general_truthtable_qiskit(oracle_string: str) -> QuantumCircuit:
from qiskit.aqua.algorithms import Grover
from qiskit.aqua.components.oracles import TruthTableOracle
# input is binary String of a truth table, like '1000': A & B = 0 => f(x*) = 1
oracle = TruthTableOracle(oracle_string)
grover = Grover(oracle)
grover_circuit = grover.construct_circuit(measurement=True)
return grover_circuit
def test_deutschjozsa(self, dj_input, mct_mode, optimization='off'):
backend = BasicAer.get_backend('qasm_simulator')
oracle = TruthTableOracle(dj_input, optimization=optimization, mct_mode=mct_mode)
algorithm = DeutschJozsa(oracle)
result = algorithm.run(backend)
# print(result['circuit'].draw(line_length=10000))
if sum([int(i) for i in dj_input]) == len(dj_input) / 2:
self.assertTrue(result['result'] == 'balanced')
else:
self.assertTrue(result['result'] == 'constant')
def test_with_pass_manager(self):
""" Test Bernstein Vazirani using PassManager """
quantum_instance = QuantumInstance(
BasicAer.get_backend('qasm_simulator'),
pass_manager=level_0_pass_manager(
PassManagerConfig(basis_gates=['cx', 'u1', 'u2', 'u3'])))
alg = BernsteinVazirani(oracle=TruthTableOracle(bitmaps="01100110"),
quantum_instance=quantum_instance)
result = alg.run()
self.assertEqual(result['result'], '011')
def test_aqua_algorithm() -> None:
backends: List[Backend] = [AerBackend(), AerStateBackend()]
if use_qulacs:
backends.append(QulacsBackend())
for b in backends:
for comp in (None, b.default_compilation_pass()):
if use_qulacs and type(b) == QulacsBackend and comp is None:
continue
tb = TketBackend(b, comp)
ora = TruthTableOracle(bitmaps="01100110")
alg = BernsteinVazirani(oracle=ora, quantum_instance=tb)
result = alg.run()
assert result["result"] == "011"
alg = DeutschJozsa(oracle=ora, quantum_instance=tb)
result = alg.run()
assert result["result"] == "balanced"
ora = TruthTableOracle(bitmaps="11111111")
alg = DeutschJozsa(oracle=ora, quantum_instance=tb)
result = alg.run()
assert result["result"] == "constant"
def test_deutsch_jozsa(self, dj_input, mct_mode, optimization, simulator):
""" Deutsch Jozsa test """
backend = BasicAer.get_backend(simulator)
oracle = TruthTableOracle(dj_input, optimization=optimization, mct_mode=mct_mode)
algorithm = DeutschJozsa(oracle)
quantum_instance = QuantumInstance(backend)
result = algorithm.run(quantum_instance=quantum_instance)
# print(result['circuit'].draw(line_length=10000))
if sum([int(i) for i in dj_input]) == len(dj_input) / 2:
self.assertTrue(result['result'] == 'balanced')
else:
self.assertTrue(result['result'] == 'constant')
def test_bernsteinvazirani(self, bv_input, mct_mode, optimization='off'):
nbits = int(math.log(len(bv_input), 2))
# compute the ground-truth classically
parameter = ""
for i in reversed(range(nbits)):
bit = bv_input[2 ** i]
parameter += bit
backend = get_aer_backend('qasm_simulator')
oracle = TruthTableOracle(bv_input, optimization=optimization, mct_mode=mct_mode)
algorithm = BernsteinVazirani(oracle)
result = algorithm.run(backend)
# print(result['circuit'].draw(line_length=10000))
self.assertEqual(result['result'], parameter)
def parityCircuit(theta1=0, theta2=0):
# Noise rotation matrix.
n1 = rotationMatrix(theta1)
n2 = rotationMatrix(theta2)
n = np.kron(n1, n2)
# Noise operator
id_op = Operator(n)
truthtable = "10011001"
oracle = TruthTableOracle(truthtable)
or_cx = oracle.construct_circuit()
# print(oracle.output_register)
v = oracle.variable_register
o = oracle.output_register
cr1 = ClassicalRegister(3)
cr2 = ClassicalRegister(1)
cx_circ = QuantumCircuit(v, cr2)
or_cx.add_register(cr1)
cx_circ.h(v[1])
cx_circ.cx(v[1], v[0])
cx_circ.unitary(id_op, v[1:3], label='idop')
total_cx = cx_circ + or_cx
total_cx.measure(v, cr1)
total_cx.measure(o, cr2)
return total_cx
def call_grover(truth_map: str, num_vertices: int, shots=1024) -> dict:
"""Call the simulation for grover's algorithm with the truth map and time its execution
:param truth_map: The string bitmap
:param num_vertices: Number of vertices of the graph for documentation purposes
:return: the GroverResult item
"""
start = time()
oracle = TruthTableOracle(truth_map)
grover = Grover(oracle) # Wow that's nice that this already exists
result = grover.run(
QuantumInstance(BasicAer.get_backend('qasm_simulator'), shots=shots))
end = time()
print('Grover\'s search on n = {} vertices:\nTime elapsed: {}s\n'.format(
num_vertices, end - start))
return result
def test_bernstein_vazirani(self, bv_input, mct_mode, optimization,
simulator):
""" Bernstein Vazirani test """
nbits = int(math.log(len(bv_input), 2))
# compute the ground-truth classically
parameter = ""
for i in reversed(range(nbits)):
bit = bv_input[2**i]
parameter += bit
backend = BasicAer.get_backend(simulator)
oracle = TruthTableOracle(bv_input,
optimization=optimization,
mct_mode=mct_mode)
algorithm = BernsteinVazirani(oracle)
quantum_instance = QuantumInstance(backend)
result = algorithm.run(quantum_instance=quantum_instance)
# print(result['circuit'].draw(line_length=10000))
self.assertEqual(result['result'], parameter)
def make_oracle(qcount):
bitmaps = [''] * qcount
for raw_value in range(2**qcount):
value = format(raw_value, '0{}b'.format(qcount))[::-1]
for index in range(qcount):
n = neighbours3(index, value)
alive_count = 1 if n[0] == '1' else 0
alive_count += 1 if n[2] == '1' else 0
if n[1] == '0' and alive_count == 2:
bitmaps[index] += '1'
elif n[1] == '1' and alive_count == 1:
bitmaps[index] += '1'
else:
bitmaps[index] += '0'
return TruthTableOracle(bitmaps)
def test_simon(self, simon_input, mct_mode, optimization='off'):
# find the two keys that have matching values
nbits = int(math.log(len(simon_input[0]), 2))
vals = list(zip(*simon_input))[::-1]
def find_pair():
for i in range(len(vals)):
for j in range(i + 1, len(vals)):
if vals[i] == vals[j]:
return i, j
return 0, 0
k1, k2 = find_pair()
hidden = np.binary_repr(k1 ^ k2, nbits)
backend = get_aer_backend('qasm_simulator')
oracle = TruthTableOracle(simon_input, optimization=optimization, mct_mode=mct_mode)
algorithm = Simon(oracle)
result = algorithm.run(backend)
# print(result['circuit'].draw(line_length=10000))
self.assertEqual(result['result'], hidden)
for i in ln:
qc.cx(q1[i], q2[i])
qc.cx(q2[i], q1[i])
qc.cx(q1[i], q2[i])
s = ''
dat_file = open('data.txt', 'r')
temp = dat_file.readline()
for i in range(2**n):
temp = dat_file.readline()
s += list(temp.split("\t"))[1][:1]
dat_file.close()
print('Creating and Extracting oracle')
oracle = TruthTableOracle(s)
vr = oracle.variable_register
vr2 = QuantumRegister(len(vr))
anc = QuantumRegister(len(vr))
otr = oracle.output_register
qc1 = QuantumCircuit(vr, vr2, anc, otr)
qc1.h(vr)
qc1.x(otr)
qc1.h(otr)
qc1.barrier()
qc = oracle.circuit
qc2 = QuantumCircuit(vr, vr2, anc, otr)
qc2.h(vr)
swap(qc2, vr, vr2, anc)
import qiskit
from qiskit import IBMQ
IBMQ.load_account()
from qiskit import BasicAer
from qiskit.aqua import QuantumInstance
from qiskit.aqua import run_algorithm
from qiskit.aqua.algorithms import DeutschJozsa
from qiskit.aqua.components.oracles import TruthTableOracle
bitstr = '11110000'
oracle = TruthTableOracle(bitstr)
oracle.circuit.draw(output='mpl')
dj = DeutschJozsa(oracle)
backend = BasicAer.get_backend('qasm_simulator')
result = dj.run(QuantumInstance(backend, shots=1024))
print('The truth table {} represents a {} function.'.format(
bitstr, result['result']))
bitstr = '11110000'
params = {
'problem': {
'name': 'functionevaluation',
},
'algorithm': {
'name': 'DeutschJozsa'
},
'oracle': {
'name': 'TruthTableOracle',
'bitmaps': [bitstr]