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_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_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_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)