def test_from_dictionary_sqrt_iswap_fails_when_invalid_parameters() -> None:
a, b = cirq.LineQubit.range(2)
parameters_ab = cirq.google.PhasedFSimCharacterization(
theta=0.6, zeta=0.5, chi=0.4, gamma=0.3, phi=0.2
)
with pytest.raises(ValueError):
PhasedFSimEngineSimulator.create_from_dictionary_sqrt_iswap(
parameters={(b, a): parameters_ab}
)
def test_floquet_get_calibrations_when_invalid_request_fails() -> None:
parameters_ab = cirq.google.PhasedFSimCharacterization(theta=0.6,
zeta=0.5,
chi=0.4,
gamma=0.3,
phi=0.2)
a, b = cirq.LineQubit.range(2)
engine_simulator = PhasedFSimEngineSimulator.create_from_dictionary_sqrt_iswap(
parameters={(a, b): parameters_ab})
with pytest.raises(ValueError):
engine_simulator.get_calibrations([
FloquetPhasedFSimCalibrationRequest(
gate=cirq.FSimGate(np.pi / 4, 0.5),
pairs=((a, b), ),
options=ALL_ANGLES_FLOQUET_PHASED_FSIM_CHARACTERIZATION,
)
])
with pytest.raises(ValueError):
engine_simulator.get_calibrations([
TestPhasedFSimCalibrationRequest(
gate=cirq.FSimGate(np.pi / 4, 0.5),
pairs=((a, b), ),
)
])
def test_floquet_get_calibrations() -> None:
parameters_ab = cirq.google.PhasedFSimCharacterization(
theta=0.6, zeta=0.5, chi=0.4, gamma=0.3, phi=0.2
)
parameters_bc = cirq.google.PhasedFSimCharacterization(
theta=0.8, zeta=-0.5, chi=-0.4, gamma=-0.3, phi=-0.2
)
parameters_cd_dict = {'theta': 0.1, 'zeta': 0.2, 'chi': 0.3, 'gamma': 0.4, 'phi': 0.5}
parameters_cd = cirq.google.PhasedFSimCharacterization(**parameters_cd_dict)
a, b, c, d = cirq.LineQubit.range(4)
engine_simulator = PhasedFSimEngineSimulator.create_from_dictionary_sqrt_iswap(
parameters={(a, b): parameters_ab, (b, c): parameters_bc, (c, d): parameters_cd_dict}
)
requests = [_create_sqrt_iswap_request([(a, b), (c, d)]), _create_sqrt_iswap_request([(b, c)])]
results = engine_simulator.get_calibrations(requests)
assert results == [
cirq.google.PhasedFSimCalibrationResult(
gate=cirq.FSimGate(np.pi / 4, 0.0),
parameters={(a, b): parameters_ab, (c, d): parameters_cd},
options=ALL_ANGLES_FLOQUET_PHASED_FSIM_CHARACTERIZATION,
),
cirq.google.PhasedFSimCalibrationResult(
gate=cirq.FSimGate(np.pi / 4, 0.0),
parameters={(b, c): parameters_bc},
options=ALL_ANGLES_FLOQUET_PHASED_FSIM_CHARACTERIZATION,
),
]
def test_from_dictionary_sqrt_iswap_ideal_when_missing_gate_fails() -> None:
a, b = cirq.LineQubit.range(2)
circuit = cirq.Circuit(cirq.FSimGate(np.pi / 4, 0.0).on(a, b))
engine_simulator = PhasedFSimEngineSimulator.create_from_dictionary_sqrt_iswap(parameters={})
with pytest.raises(ValueError):
engine_simulator.final_state_vector(circuit)
def test_from_characterizations_sqrt_iswap_simulates_correctly() -> None:
parameters_ab = cirq.google.PhasedFSimCharacterization(theta=0.6,
zeta=0.5,
chi=0.4,
gamma=0.3,
phi=0.2)
parameters_bc = cirq.google.PhasedFSimCharacterization(theta=0.8,
zeta=-0.5,
chi=-0.4,
gamma=-0.3,
phi=-0.2)
parameters_cd = cirq.google.PhasedFSimCharacterization(theta=0.1,
zeta=0.2,
chi=0.3,
gamma=0.4,
phi=0.5)
a, b, c, d = cirq.LineQubit.range(4)
circuit = cirq.Circuit([
[cirq.X(a), cirq.Y(c)],
[
cirq.FSimGate(np.pi / 4, 0.0).on(a, b),
cirq.FSimGate(np.pi / 4, 0.0).on(c, d)
],
[cirq.FSimGate(np.pi / 4, 0.0).on(c, b)],
])
expected_circuit = cirq.Circuit([
[cirq.X(a), cirq.X(c)],
[
cirq.PhasedFSimGate(**parameters_ab.asdict()).on(a, b),
cirq.PhasedFSimGate(**parameters_cd.asdict()).on(c, d),
],
[cirq.PhasedFSimGate(**parameters_bc.asdict()).on(b, c)],
])
engine_simulator = PhasedFSimEngineSimulator.create_from_characterizations_sqrt_iswap(
characterizations=[
cirq.google.PhasedFSimCalibrationResult(
gate=cirq.FSimGate(np.pi / 4, 0.0),
parameters={
(a, b): parameters_ab,
(c, d): parameters_cd
},
options=ALL_ANGLES_FLOQUET_PHASED_FSIM_CHARACTERIZATION,
),
cirq.google.PhasedFSimCalibrationResult(
gate=cirq.FSimGate(np.pi / 4, 0.0),
parameters={
(c, b): parameters_bc.parameters_for_qubits_swapped()
},
options=ALL_ANGLES_FLOQUET_PHASED_FSIM_CHARACTERIZATION,
),
])
actual = engine_simulator.final_state_vector(circuit)
expected = cirq.final_state_vector(expected_circuit)
assert cirq.allclose_up_to_global_phase(actual, expected)
def test_from_dictionary_sqrt_iswap_simulates_correctly() -> None:
parameters_ab = cirq.google.PhasedFSimCharacterization(theta=0.6,
zeta=0.5,
chi=0.4,
gamma=0.3,
phi=0.2)
parameters_bc = cirq.google.PhasedFSimCharacterization(theta=0.8,
zeta=-0.5,
chi=-0.4,
gamma=-0.3,
phi=-0.2)
parameters_cd_dict = {
'theta': 0.1,
'zeta': 0.2,
'chi': 0.3,
'gamma': 0.4,
'phi': 0.5
}
a, b, c, d = cirq.LineQubit.range(4)
circuit = cirq.Circuit([
[cirq.X(a), cirq.Y(c)],
[
cirq.FSimGate(np.pi / 4, 0.0).on(a, b),
cirq.FSimGate(np.pi / 4, 0.0).on(d, c)
],
[cirq.FSimGate(np.pi / 4, 0.0).on(b, c)],
[
cirq.FSimGate(np.pi / 4, 0.0).on(a, b),
cirq.FSimGate(np.pi / 4, 0.0).on(c, d)
],
])
expected_circuit = cirq.Circuit([
[cirq.X(a), cirq.X(c)],
[
cirq.PhasedFSimGate(**parameters_ab.asdict()).on(a, b),
cirq.PhasedFSimGate(**parameters_cd_dict).on(c, d),
],
[cirq.PhasedFSimGate(**parameters_bc.asdict()).on(b, c)],
[
cirq.PhasedFSimGate(**parameters_ab.asdict()).on(a, b),
cirq.PhasedFSimGate(**parameters_cd_dict).on(c, d),
],
])
engine_simulator = PhasedFSimEngineSimulator.create_from_dictionary_sqrt_iswap(
parameters={
(a, b): parameters_ab,
(b, c): parameters_bc,
(c, d): parameters_cd_dict
})
actual = engine_simulator.final_state_vector(circuit)
expected = cirq.final_state_vector(expected_circuit)
assert cirq.allclose_up_to_global_phase(actual, expected)
def test_ideal_sqrt_iswap_simulates_correctly_invalid_circuit_fails() -> None:
engine_simulator = PhasedFSimEngineSimulator.create_with_ideal_sqrt_iswap()
with pytest.raises(IncompatibleMomentError):
a, b = cirq.LineQubit.range(2)
circuit = cirq.Circuit([cirq.CZ.on(a, b)])
engine_simulator.simulate(circuit)
with pytest.raises(IncompatibleMomentError):
circuit = cirq.Circuit(cirq.GlobalPhaseOperation(coefficient=1.0))
engine_simulator.simulate(circuit)
def test_from_dictionary_sqrt_iswap_ideal_when_missing_parameter_fails() -> None:
parameters_ab = cirq.google.PhasedFSimCharacterization(theta=0.8, zeta=-0.5, chi=-0.4)
a, b = cirq.LineQubit.range(2)
circuit = cirq.Circuit(cirq.FSimGate(np.pi / 4, 0.0).on(a, b))
engine_simulator = PhasedFSimEngineSimulator.create_from_dictionary_sqrt_iswap(
parameters={(a, b): parameters_ab},
)
with pytest.raises(ValueError):
engine_simulator.final_state_vector(circuit)
def test_from_characterizations_sqrt_iswap_when_invalid_arguments_fails(
) -> None:
parameters_ab = cirq.google.PhasedFSimCharacterization(theta=0.6,
zeta=0.5,
chi=0.4,
gamma=0.3,
phi=0.2)
parameters_bc = cirq.google.PhasedFSimCharacterization(theta=0.8,
zeta=-0.5,
chi=-0.4,
gamma=-0.3,
phi=-0.2)
a, b = cirq.LineQubit.range(2)
with pytest.raises(ValueError):
PhasedFSimEngineSimulator.create_from_characterizations_sqrt_iswap(
characterizations=[
cirq.google.PhasedFSimCalibrationResult(
gate=cirq.FSimGate(np.pi / 4, 0.0),
parameters={(a, b): parameters_ab},
options=ALL_ANGLES_FLOQUET_PHASED_FSIM_CHARACTERIZATION,
),
cirq.google.PhasedFSimCalibrationResult(
gate=cirq.FSimGate(np.pi / 4, 0.0),
parameters={(a, b): parameters_bc},
options=ALL_ANGLES_FLOQUET_PHASED_FSIM_CHARACTERIZATION,
),
])
with pytest.raises(ValueError):
PhasedFSimEngineSimulator.create_from_characterizations_sqrt_iswap(
characterizations=[
cirq.google.PhasedFSimCalibrationResult(
gate=cirq.FSimGate(np.pi / 4, 0.2),
parameters={(a, b): parameters_ab},
options=ALL_ANGLES_FLOQUET_PHASED_FSIM_CHARACTERIZATION,
)
])
def test_with_random_gaussian_sqrt_iswap_simulates_correctly() -> None:
engine_simulator = PhasedFSimEngineSimulator.create_with_random_gaussian_sqrt_iswap(
mean=SQRT_ISWAP_PARAMETERS,
sigma=PhasedFSimCharacterization(theta=0.02,
zeta=0.05,
chi=0.05,
gamma=None,
phi=0.02),
)
a, b, c, d = cirq.LineQubit.range(4)
circuit = cirq.Circuit([
[cirq.X(a), cirq.Y(c)],
[
cirq.FSimGate(np.pi / 4, 0.0).on(a, b),
cirq.FSimGate(np.pi / 4, 0.0).on(c, d)
],
[cirq.FSimGate(np.pi / 4, 0.0).on(b, c)],
[
cirq.FSimGate(np.pi / 4, 0.0).on(b, a),
cirq.FSimGate(np.pi / 4, 0.0).on(d, c)
],
])
calibrations = engine_simulator.get_calibrations([
_create_sqrt_iswap_request([(a, b), (c, d)]),
_create_sqrt_iswap_request([(b, c)])
])
parameters = collections.ChainMap(*(calibration.parameters
for calibration in calibrations))
expected_circuit = cirq.Circuit([
[cirq.X(a), cirq.X(c)],
[
cirq.PhasedFSimGate(**parameters[(a, b)].asdict()).on(a, b),
cirq.PhasedFSimGate(**parameters[(c, d)].asdict()).on(c, d),
],
[cirq.PhasedFSimGate(**parameters[(b, c)].asdict()).on(b, c)],
[
cirq.PhasedFSimGate(**parameters[(a, b)].asdict()).on(a, b),
cirq.PhasedFSimGate(**parameters[(c, d)].asdict()).on(c, d),
],
])
actual = engine_simulator.final_state_vector(circuit)
expected = cirq.final_state_vector(expected_circuit)
assert cirq.allclose_up_to_global_phase(actual, expected)
def test_ideal_sqrt_iswap_simulates_correctly() -> None:
a, b, c, d = cirq.LineQubit.range(4)
circuit = cirq.Circuit(
[
[cirq.X(a), cirq.Y(c)],
[cirq.FSimGate(np.pi / 4, 0.0).on(a, b), cirq.FSimGate(np.pi / 4, 0.0).on(c, d)],
[cirq.FSimGate(np.pi / 4, 0.0).on(b, c)],
]
)
engine_simulator = PhasedFSimEngineSimulator.create_with_ideal_sqrt_iswap()
actual = engine_simulator.final_state_vector(circuit)
expected = cirq.final_state_vector(circuit)
assert cirq.allclose_up_to_global_phase(actual, expected)
def test_from_dictionary_sqrt_iswap_ideal_when_missing_simulates_correctly(
) -> None:
parameters_ab = cirq.google.PhasedFSimCharacterization(theta=0.6,
zeta=0.5,
chi=0.4,
gamma=0.3,
phi=0.2)
parameters_bc = cirq.google.PhasedFSimCharacterization(theta=0.8,
zeta=-0.5,
chi=-0.4)
a, b, c, d = cirq.LineQubit.range(4)
circuit = cirq.Circuit([
[cirq.X(a), cirq.Y(c)],
[
cirq.FSimGate(np.pi / 4, 0.0).on(a, b),
cirq.FSimGate(np.pi / 4, 0.0).on(c, d)
],
[cirq.FSimGate(np.pi / 4, 0.0).on(b, c)],
])
expected_circuit = cirq.Circuit([
[cirq.X(a), cirq.X(c)],
[
cirq.PhasedFSimGate(**parameters_ab.asdict()).on(a, b),
cirq.PhasedFSimGate(**SQRT_ISWAP_PARAMETERS.asdict()).on(c, d),
],
[
cirq.PhasedFSimGate(
**parameters_bc.merge_with(SQRT_ISWAP_PARAMETERS).asdict()).on(
b, c)
],
])
engine_simulator = PhasedFSimEngineSimulator.create_from_dictionary_sqrt_iswap(
parameters={
(a, b): parameters_ab,
(b, c): parameters_bc
},
ideal_when_missing_parameter=True,
ideal_when_missing_gate=True,
)
actual = engine_simulator.final_state_vector(circuit)
expected = cirq.final_state_vector(expected_circuit)
assert cirq.allclose_up_to_global_phase(actual, expected)
def test_run_characterization_with_simulator():
q_00, q_01, q_02, q_03 = [cirq.GridQubit(0, index) for index in range(4)]
gate = SQRT_ISWAP_GATE
request = FloquetPhasedFSimCalibrationRequest(
gate=gate,
pairs=((q_00, q_01), (q_02, q_03)),
options=FloquetPhasedFSimCalibrationOptions(
characterize_theta=True,
characterize_zeta=True,
characterize_chi=False,
characterize_gamma=False,
characterize_phi=True,
),
)
simulator = PhasedFSimEngineSimulator.create_with_ideal_sqrt_iswap()
actual = workflow.run_characterizations([request], simulator)
assert actual == [
PhasedFSimCalibrationResult(
parameters={
(q_00, q_01):
PhasedFSimCharacterization(theta=np.pi / 4,
zeta=0.0,
chi=None,
gamma=None,
phi=0.0),
(q_02, q_03):
PhasedFSimCharacterization(theta=np.pi / 4,
zeta=0.0,
chi=None,
gamma=None,
phi=0.0),
},
gate=SQRT_ISWAP_GATE,
options=FloquetPhasedFSimCalibrationOptions(
characterize_theta=True,
characterize_zeta=True,
characterize_chi=False,
characterize_gamma=False,
characterize_phi=True,
),
)
]
def test_with_random_gaussian_runs_correctly() -> None:
a, b, c, d = cirq.LineQubit.range(4)
circuit = cirq.Circuit(
[
[cirq.X(a), cirq.Y(c)],
[cirq.FSimGate(np.pi / 4, 0.0).on(a, b), cirq.FSimGate(np.pi / 4, 0.0).on(c, d)],
[cirq.FSimGate(np.pi / 4, 0.0).on(b, c)],
cirq.measure(a, b, c, d, key='z'),
]
)
simulator = cirq.Simulator()
engine_simulator = PhasedFSimEngineSimulator.create_with_random_gaussian_sqrt_iswap(
SQRT_ISWAP_PARAMETERS, simulator=simulator
)
actual = engine_simulator.run(circuit, repetitions=20000).measurements['z']
expected = simulator.run(circuit, repetitions=20000).measurements['z']
assert np.allclose(np.average(actual, axis=0), np.average(expected, axis=0), atol=0.075)
def test_with_random_gaussian_sqrt_iswap_fails_with_invalid_mean() -> None:
with pytest.raises(ValueError):
PhasedFSimEngineSimulator.create_with_random_gaussian_sqrt_iswap(
mean=PhasedFSimCharacterization(theta=np.pi / 4))