def test_dont_allow_partial_czs():
q0, q1 = cirq.LineQubit.range(2)
circuit = cirq.Circuit(
cirq.CZ(q0, q1),
cirq.CZPowGate(exponent=1, global_shift=-0.5).on(q0, q1),
)
c_orig = cirq.Circuit(circuit)
with cirq.testing.assert_deprecated("Use cirq.optimize_for_target_gateset",
deadline='v1.0'):
cirq.ConvertToCzAndSingleGates().optimize_circuit(circuit)
assert circuit == c_orig
circuit = cirq.Circuit(cirq.CZ(q0, q1)**0.5, )
c_orig = cirq.Circuit(circuit)
with cirq.testing.assert_deprecated("Use cirq.optimize_for_target_gateset",
deadline='v1.0'):
cirq.ConvertToCzAndSingleGates(
ignore_failures=True).optimize_circuit(circuit)
assert sum(1 for op in circuit.all_operations() if len(op.qubits) > 1) == 2
assert sum(1 for op in circuit.all_operations()
if isinstance(op.gate, cirq.CZPowGate)) == 2
assert all(op.gate.exponent % 2 == 1 for op in circuit.all_operations()
if isinstance(op.gate, cirq.CZPowGate))
cirq.testing.assert_allclose_up_to_global_phase(circuit.unitary(),
c_orig.unitary(),
atol=1e-7)
def test_allow_partial_czs():
q0, q1 = cirq.LineQubit.range(2)
circuit = cirq.Circuit(
cirq.CZ(q0, q1)**0.5,
cirq.CZPowGate(exponent=0.5, global_shift=-0.5).on(q0, q1),
)
c_orig = cirq.Circuit(circuit)
cirq.ConvertToCzAndSingleGates(
allow_partial_czs=True).optimize_circuit(circuit)
assert circuit == c_orig
# yapf: disable
circuit2 = cirq.Circuit(
cirq.MatrixGate((np.array([[1, 0, 0, 0],
[0, 1, 0, 0],
[0, 0, 1, 0],
[0, 0, 0, 1j]]))).on(q0, q1))
# yapf: enable
cirq.ConvertToCzAndSingleGates(
allow_partial_czs=True).optimize_circuit(circuit2)
two_qubit_ops = list(
circuit2.findall_operations(lambda e: len(e.qubits) == 2))
assert len(two_qubit_ops) == 1
gate = two_qubit_ops[0][1].gate
assert isinstance(gate, cirq.ops.CZPowGate) and gate.exponent == 0.5
def test_avoids_decompose_when_matrix_available():
class OtherXX(cirq.testing.TwoQubitGate):
# coverage: ignore
def _unitary_(self) -> np.ndarray:
m = np.array([[0, 1], [1, 0]])
return np.kron(m, m)
def _decompose_(self, qubits):
assert False
class OtherOtherXX(cirq.testing.TwoQubitGate):
# coverage: ignore
def _unitary_(self) -> np.ndarray:
m = np.array([[0, 1], [1, 0]])
return np.kron(m, m)
def _decompose_(self, qubits):
assert False
a, b = cirq.LineQubit.range(2)
c = cirq.Circuit(OtherXX()(a, b), OtherOtherXX()(a, b))
with cirq.testing.assert_deprecated("Use cirq.optimize_for_target_gateset",
deadline='v1.0'):
cirq.ConvertToCzAndSingleGates().optimize_circuit(c)
assert len(c) == 2
def main():
"""Demonstrates Quantum Fourier transform.
"""
# Create circuit
qft_circuit = generate_2x2_grid_qft_circuit()
cirq.ConvertToCzAndSingleGates().optimize_circuit(
qft_circuit) # cannot work with params
cirq.ExpandComposite().optimize_circuit(qft_circuit)
print('Circuit:')
print(qft_circuit)
qsim_circuit = qsimcirq.QSimCircuit(cirq_circuit=qft_circuit,
allow_decomposition=True)
# Simulate and collect final_state
sv_simulator = cirq.Simulator()
qs_simulator = qsimcirq.QSimSimulator(qsim_options={'t': 16, 'v': 2})
sv_result = sv_simulator.simulate(qft_circuit)
qs_result = qs_simulator.simulate(qsim_circuit)
assert sv_result.state_vector().shape == (16, )
assert qs_result.state_vector().shape == (16, )
assert cirq.linalg.allclose_up_to_global_phase(sv_result.state_vector(),
qs_result.state_vector())
kc_simulator = cirq.KnowledgeCompilationSimulator(qft_circuit,
intermediate=False)
kc_result = kc_simulator.simulate(qft_circuit)
print()
print('FinalState')
assert cirq.linalg.allclose_up_to_global_phase(sv_result.state_vector(),
kc_result.state_vector())
print(kc_result.state_vector())
print(np.around(kc_result.final_state_vector, 3))
def test_composite_gates_without_matrix():
class CompositeDummy(cirq.SingleQubitGate):
def _decompose_(self, qubits):
yield cirq.X(qubits[0])
yield cirq.Y(qubits[0])**0.5
class CompositeDummy2(cirq.TwoQubitGate):
def _decompose_(self, qubits):
yield cirq.CZ(qubits[0], qubits[1])
yield CompositeDummy()(qubits[1])
q0, q1 = cirq.LineQubit.range(2)
circuit = cirq.Circuit(
CompositeDummy()(q0),
CompositeDummy2()(q0, q1),
)
expected = cirq.Circuit(
cirq.X(q0),
cirq.Y(q0)**0.5,
cirq.CZ(q0, q1),
cirq.X(q1),
cirq.Y(q1)**0.5,
)
c_orig = cirq.Circuit(circuit)
cirq.ConvertToCzAndSingleGates().optimize_circuit(circuit)
cirq.testing.assert_allclose_up_to_global_phase(circuit.unitary(),
expected.unitary(),
atol=1e-7)
cirq.testing.assert_allclose_up_to_global_phase(circuit.unitary(),
c_orig.unitary(),
atol=1e-7)
def test_cirq_qsim_simulate_random_unitary(mode: str):
q0, q1 = cirq.LineQubit.range(2)
qsimSim = qsimcirq.QSimSimulator(qsim_options={"t": 16, "v": 0})
for iter in range(10):
random_circuit = cirq.testing.random_circuit(
qubits=[q0, q1], n_moments=8, op_density=0.99, random_state=iter
)
cirq.ConvertToCzAndSingleGates().optimize_circuit(
random_circuit
) # cannot work with params
cirq.ExpandComposite().optimize_circuit(random_circuit)
if mode == "noisy":
random_circuit.append(NoiseTrigger().on(q0))
result = qsimSim.simulate(random_circuit, qubit_order=[q0, q1])
assert result.state_vector().shape == (4,)
cirqSim = cirq.Simulator()
cirq_result = cirqSim.simulate(random_circuit, qubit_order=[q0, q1])
# When using rotation gates such as S, qsim may add a global phase relative
# to other simulators. This is fine, as the result is equivalent.
assert cirq.linalg.allclose_up_to_global_phase(
result.state_vector(), cirq_result.state_vector(), atol=1.0e-6
)
def test_allow_partial_czs():
q0, q1 = cirq.LineQubit.range(2)
circuit = cirq.Circuit.from_ops(cirq.CZ(q0, q1)**0.5, )
c_orig = cirq.Circuit(circuit)
cirq.ConvertToCzAndSingleGates(
allow_partial_czs=True).optimize_circuit(circuit)
assert circuit == c_orig
def test_fail_unsupported_gate():
class UnsupportedDummy(cirq.TwoQubitGate):
pass
q0, q1 = cirq.LineQubit.range(2)
circuit = cirq.Circuit(UnsupportedDummy()(q0, q1), )
with pytest.raises(TypeError):
cirq.ConvertToCzAndSingleGates().optimize_circuit(circuit)
def test_passes_through_measurements():
q0, q1, q2 = cirq.LineQubit.range(3)
circuit = cirq.Circuit(
cirq.measure(q0, key='m0'),
cirq.measure(q1, q2, key='m1', invert_mask=(True, False)),
)
c_orig = cirq.Circuit(circuit)
cirq.ConvertToCzAndSingleGates().optimize_circuit(circuit)
assert circuit == c_orig
def test_fail_unsupported_gate():
class UnsupportedDummy(cirq.testing.TwoQubitGate):
pass
q0, q1 = cirq.LineQubit.range(2)
circuit = cirq.Circuit(UnsupportedDummy()(q0, q1), )
with pytest.raises(TypeError):
with cirq.testing.assert_deprecated(
"Use cirq.optimize_for_target_gateset", deadline='v1.0'):
cirq.ConvertToCzAndSingleGates().optimize_circuit(circuit)
def test_passes_through_measurements():
q0, q1, q2 = cirq.LineQubit.range(3)
circuit = cirq.Circuit(
cirq.measure(q0, key='m0'),
cirq.measure(q1, q2, key='m1', invert_mask=(True, False)))
c_orig = cirq.Circuit(circuit)
with cirq.testing.assert_deprecated("Use cirq.optimize_for_target_gateset",
deadline='v1.0'):
cirq.ConvertToCzAndSingleGates().optimize_circuit(circuit)
assert circuit == c_orig
def test_ignore_unsupported_gate():
class UnsupportedDummy(cirq.TwoQubitGate):
pass
q0, q1 = cirq.LineQubit.range(2)
circuit = cirq.Circuit(UnsupportedDummy()(q0, q1), )
c_orig = cirq.Circuit(circuit)
cirq.ConvertToCzAndSingleGates(
ignore_failures=True).optimize_circuit(circuit)
assert circuit == c_orig
def test_kak_decomposes_unknown_two_qubit_gate():
q0, q1 = cirq.LineQubit.range(2)
circuit = cirq.Circuit.from_ops(cirq.ISWAP(q0, q1))
c_orig = cirq.Circuit(circuit)
cirq.ConvertToCzAndSingleGates().optimize_circuit(circuit)
assert sum(1 for op in circuit.all_operations() if len(op.qubits) > 1) == 2
assert sum(1 for op in circuit.all_operations()
if cirq.op_gate_of_type(op, cirq.CZPowGate)) == 2
assert all(op.gate.exponent == 1 for op in circuit.all_operations()
if cirq.op_gate_of_type(op, cirq.CZPowGate))
cirq.testing.assert_allclose_up_to_global_phase(
circuit.to_unitary_matrix(), c_orig.to_unitary_matrix(), atol=1e-7)
def test_ignore_unsupported_gate():
class UnsupportedDummy(cirq.testing.TwoQubitGate):
pass
q0, q1 = cirq.LineQubit.range(2)
circuit = cirq.Circuit(UnsupportedDummy()(q0, q1), )
c_orig = cirq.Circuit(circuit)
with cirq.testing.assert_deprecated("Use cirq.optimize_for_target_gateset",
deadline='v1.0'):
cirq.ConvertToCzAndSingleGates(
ignore_failures=True).optimize_circuit(circuit)
assert circuit == c_orig
def optimize(c):
cirq.ConvertToCzAndSingleGates().optimize_circuit(circuit=c)
cirq.MergeSingleQubitGates().optimize_circuit(circuit=c)
cirq.EjectZ().optimize_circuit(circuit=c)
cirq.EjectPhasedPaulis().optimize_circuit(circuit=c)
cirq.MergeSingleQubitGates().optimize_circuit(circuit=c)
cirq.DropNegligible().optimize_circuit(circuit=c)
cirq.DropEmptyMoments().optimize_circuit(circuit=c)
c2=cirq.Circuit()
for g in c:
for g2 in g:
# print(g2)
c2.append(g2,strategy=cirq.InsertStrategy.EARLIEST)
return c2
def test_dont_allow_partial_czs():
q0, q1 = cirq.LineQubit.range(2)
circuit = cirq.Circuit.from_ops(cirq.CZ(q0, q1)**0.5, )
c_orig = cirq.Circuit(circuit)
cirq.ConvertToCzAndSingleGates(
ignore_failures=True).optimize_circuit(circuit)
assert sum(1 for op in circuit.all_operations() if len(op.qubits) > 1) == 2
assert sum(1 for op in circuit.all_operations()
if cirq.op_gate_of_type(op, cirq.CZPowGate)) == 2
assert all(op.gate.exponent % 2 == 1 for op in circuit.all_operations()
if cirq.op_gate_of_type(op, cirq.CZPowGate))
cirq.testing.assert_allclose_up_to_global_phase(
circuit.to_unitary_matrix(), c_orig.to_unitary_matrix(), atol=1e-7)
def test_kak_decomposes_unknown_two_qubit_gate():
q0, q1 = cirq.LineQubit.range(2)
circuit = cirq.Circuit(cirq.ISWAP(q0, q1))
c_orig = cirq.Circuit(circuit)
with cirq.testing.assert_deprecated("Use cirq.optimize_for_target_gateset",
deadline='v1.0'):
cirq.ConvertToCzAndSingleGates().optimize_circuit(circuit)
assert sum(1 for op in circuit.all_operations() if len(op.qubits) > 1) == 2
assert sum(1 for op in circuit.all_operations()
if isinstance(op.gate, cirq.CZPowGate)) == 2
assert all(op.gate.exponent == 1 for op in circuit.all_operations()
if isinstance(op.gate, cirq.CZPowGate))
cirq.testing.assert_allclose_up_to_global_phase(circuit.unitary(),
c_orig.unitary(),
atol=1e-7)
def test_avoids_infinite_cycle_when_matrix_available():
class OtherX(cirq.Gate, cirq.CompositeGate):
def _unitary_(self) -> np.ndarray:
return np.array([[0, 1], [1, 0]]) # coverage: ignore
def default_decompose(self, qubits):
raise NotImplementedError()
class OtherOtherX(cirq.Gate, cirq.CompositeGate):
def _unitary_(self) -> np.ndarray:
return np.array([[0, 1], [1, 0]]) # coverage: ignore
def default_decompose(self, qubits):
raise NotImplementedError()
q0 = cirq.LineQubit(0)
c = cirq.Circuit.from_ops(OtherX()(q0), OtherOtherX()(q0))
c_orig = cirq.Circuit(c)
cirq.ConvertToCzAndSingleGates().optimize_circuit(c)
assert c == c_orig
def test_avoids_infinite_cycle_when_matrix_available():
class OtherX(cirq.SingleQubitGate):
# coverage: ignore
def _unitary_(self) -> np.ndarray:
return np.array([[0, 1], [1, 0]])
def _decompose_(self, qubits):
return OtherOtherX(*qubits)
class OtherOtherX(cirq.SingleQubitGate):
# coverage: ignore
def _unitary_(self) -> np.ndarray:
return np.array([[0, 1], [1, 0]])
def _decompose_(self, qubits):
return OtherX(*qubits)
q0 = cirq.LineQubit(0)
c = cirq.Circuit.from_ops(OtherX()(q0), OtherOtherX()(q0))
c_orig = cirq.Circuit(c)
cirq.ConvertToCzAndSingleGates().optimize_circuit(c)
assert c == c_orig
def test_avoids_decompose_when_matrix_available():
class OtherXX(cirq.TwoQubitGate):
# coverage: ignore
def _unitary_(self) -> np.ndarray:
m = np.array([[0, 1], [1, 0]])
return np.kron(m, m)
def _decompose_(self, qubits):
assert False
class OtherOtherXX(cirq.TwoQubitGate):
# coverage: ignore
def _unitary_(self) -> np.ndarray:
m = np.array([[0, 1], [1, 0]])
return np.kron(m, m)
def _decompose_(self, qubits):
assert False
a, b = cirq.LineQubit.range(2)
c = cirq.Circuit.from_ops(OtherXX()(a, b), OtherOtherXX()(a, b))
cirq.ConvertToCzAndSingleGates().optimize_circuit(c)
assert len(c) == 2
def f(x):
param_resolver = cirq.ParamResolver({ 'alpha':x[0], 'beta':x[1], 'gamma':x[2] })
# VALIDATE STATE VECTOR SIMULATION
solved_circuit = cirq.resolve_parameters(meas_circuit, param_resolver)
cirq.ConvertToCzAndSingleGates().optimize_circuit(solved_circuit) # cannot work with params
cirq.ExpandComposite().optimize_circuit(solved_circuit)
qsim_circuit = qsimcirq.QSimCircuit(solved_circuit)
qs_sim_start = time.time()
qs_sim_result = qs_sim_16.simulate(qsim_circuit)
qs_sim_time = time.time() - qs_sim_start
# kc_sim_start = time.time()
# kc_sim_result = kc_sim.simulate(cirq_circuit, param_resolver=param_resolver)
# kc_sim_time = time.time() - kc_sim_start
# print("kc_sim_result.state_vector()=")
# print(kc_sim_result.state_vector())
# print("qs_sim_result.state_vector()=")
# print(qs_sim_result.state_vector())
# assert qs_sim_result.state_vector().shape == (1<<(length*length),)
# assert cirq.linalg.allclose_up_to_global_phase(
# qs_sim_result.state_vector(),
# kc_sim_result.state_vector(),
# rtol = 1.e-4,
# atol = 1.e-6,
# )
# VALIDATE SAMPLING HISTOGRAMS
# Sample bitstrings from circuit
qs_smp_16_start = time.time()
qs_smp_16_result = qs_sim_16.run(qsim_circuit, repetitions=repetitions)
qs_smp_16_time = time.time() - qs_smp_16_start
qs_bitstrings = qs_smp_16_result.measurements['x']
# Process histogram
qs_histogram = defaultdict(int)
for bitstring in qs_bitstrings:
integer = 0
for pos, bit in enumerate(bitstring):
integer += bit<<pos
qs_histogram[integer] += 1
# Process bitstrings
qs_value = obj_func(qs_smp_16_result, h, jr, jc)
print('Objective value is {}.'.format(qs_value))
# Sample bitstrings from circuit
kc_smp_start = time.time()
kc_smp_result = kc_smp.run(meas_circuit, param_resolver=param_resolver, repetitions=repetitions)
kc_smp_time = time.time() - kc_smp_start
# Process histogram
kc_bitstrings = kc_smp_result.measurements['x']
kc_histogram = defaultdict(int)
for bitstring in kc_bitstrings:
integer = 0
for pos, bit in enumerate(reversed(bitstring)):
integer += bit<<pos
kc_histogram[integer] += 1
# Process bitstrings
kc_value = obj_func(kc_smp_result, h, jr, jc)
print('Objective value is {}.'.format(kc_value))
nonlocal iter
# PRINT HISTOGRAMS
kc_kl_div = 0
qs_kl_div = 0
print ('iter,index,bitstring,bitstring_bin,qs_probability,qs_samples,kc_samples')
probabilities = np.zeros(1<<(length*length))
for bitstring, amplitude in enumerate(qs_sim_result.state_vector()):
probability = abs(amplitude) * abs(amplitude)
kc_samples = kc_histogram[bitstring]/repetitions
qs_samples = qs_histogram[bitstring]/repetitions
kc_kl_div += 0 if kc_samples==0 else kc_samples*math.log(kc_samples/probability)
qs_kl_div += 0 if qs_samples==0 else qs_samples*math.log(qs_samples/probability)
probabilities[bitstring]=probability
kc_kl_divs[length].append(kc_kl_div)
qs_kl_divs[length].append(qs_kl_div)
sorted_bitstrings = np.argsort(probabilities)
# for index, bitstring in enumerate(sorted_bitstrings):
# print (str(iter)+','+str(index)+','+str(bitstring)+','+format(bitstring,'b').zfill(length*length)+','+str(probabilities[bitstring])+','+"{:.6e}".format(qs_histogram[bitstring]/repetitions)+','+"{:.6e}".format(kc_histogram[bitstring]/repetitions))
print ('qs_value='+str(qs_value)+' kc_value='+str(kc_value))
# print ( 'qs_sim_time='+str(qs_sim_time)+' kc_sim_time='+str(kc_sim_time) )
print ( 'qs_smp_16_time='+str(qs_smp_16_time)+' kc_smp_time='+str(kc_smp_time) )
print ('~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~')
iter += 1
return qs_value
def main():
q0, q1, q2 = cirq.LineQubit.range(3)
for iteration in range(1):
random_circuit = cirq.testing.random_circuit(qubits=[q0, q1, q2],
n_moments=32,
op_density=0.99)
cirq.ConvertToCzAndSingleGates().optimize_circuit(
random_circuit) # cannot work with params
cirq.ExpandComposite().optimize_circuit(random_circuit)
qs_circuit = qsimcirq.QSimCircuit(random_circuit)
random_circuit._to_quil_output().save_to_file('kc_qtorch.quil')
qs_simulator = qsimcirq.QSimSimulator(qsim_options={'t': 16, 'v': 2})
qs_result = qs_simulator.simulate(qs_circuit)
assert qs_result.state_vector().shape == (8, )
kc_simulator = cirq.KnowledgeCompilationSimulator(random_circuit)
kc_result = kc_simulator.simulate(random_circuit)
print("qs_result.state_vector()")
print(qs_result.state_vector())
print("kc_result.state_vector()")
print(kc_result.state_vector())
assert cirq.linalg.allclose_up_to_global_phase(
qs_result.state_vector(),
kc_result.state_vector(),
rtol=1.e-4,
atol=1.e-6,
)
path_to_qtorch = '/common/home/yh804/research/qtorch/bin/qtorch'
with open('kc_qtorch.inp', 'w') as inp_file:
inp_file.write('''# Line graph decomposition method for contraction
>string qasm kc_qtorch.quil
# >string contractmethod simple-stoch
>string contractmethod linegraph-qbb
>int quickbbseconds 65536
# >string measurement kc_qtorch.meas
# >string outputpath kc_qtorch.out
>bool qbbonly true
# >bool readqbbresonly true
# >int threads 8
''')
stdout = os.system(path_to_qtorch + ' kc_qtorch.inp')
probs = np.zeros(1 << 3)
for bitstring in range(1 << 3):
with open('kc_qtorch.inp', 'w') as inp_file:
inp_file.write(
'''# Line graph decomposition method for contraction
>string qasm kc_qtorch.quil
# >string contractmethod simple-stoch
>string contractmethod linegraph-qbb
# >int quickbbseconds 65536
>string measurement kc_qtorch.meas
>string outputpath kc_qtorch.out
# >bool qbbonly true
>bool readqbbresonly true
>int threads 8
''')
with open('kc_qtorch.meas', 'w') as meas_file:
meas_file.write("{:03b}".format(bitstring))
stdout = os.system(path_to_qtorch + ' kc_qtorch.inp')
with open('kc_qtorch.out', 'r') as out_file:
for line in out_file.readlines():
words = re.split(r'\(|,', line)
if words[0] == 'Result of Contraction: ':
probs[bitstring] = float(words[1])
print(
"np.diag(np.outer(qs_result.state_vector(),np.conj(qs_result.state_vector())))"
)
print(
np.diag(
np.outer(qs_result.state_vector(),
np.conj(qs_result.state_vector()))))
print("probs")
print(probs)
assert cirq.linalg.allclose_up_to_global_phase(
np.diag(
np.outer(qs_result.state_vector(),
np.conj(qs_result.state_vector()))),
probs,
rtol=1.e-4,
atol=1.e-6,
)
circuit_unitary = []
for x in range(8):
result = kc_simulator.simulate(random_circuit, initial_state=x)
circuit_unitary.append(result.final_state_vector)
print("np.transpose(circuit_unitary) = ")
print(np.transpose(circuit_unitary))
print("random_circuit.unitary() = ")
print(random_circuit.unitary())
np.testing.assert_almost_equal(np.transpose(circuit_unitary),
random_circuit.unitary(),
decimal=4)
def kevin_optimize_circuit(self, circuit):
cirq.DropNegligible().optimize_circuit(circuit)
cirq.ConvertToCzAndSingleGates().optimize_circuit(circuit)
