def test_floquet_parse_result_bad_metric(): q_00, q_01, q_02, q_03 = [cirq.GridQubit(0, index) for index in range(4)] gate = cirq.FSimGate(theta=np.pi / 4, phi=0.0) 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, ), ) result = cirq.google.CalibrationResult( code=cirq.google.api.v2.calibration_pb2.SUCCESS, error_message=None, token=None, valid_until=None, metrics=cirq.google.Calibration( cirq.google.api.v2.metrics_pb2.MetricsSnapshot(metrics=[ cirq.google.api.v2.metrics_pb2.Metric( name='angles', targets=[ '1000gerbils', ], values=[ cirq.google.api.v2.metrics_pb2.Value(str_val='100_10'), ], ) ])), ) with pytest.raises(ValueError, match='Unknown metric name 1000gerbils'): _ = request.parse_result(result)
def test_floquet_parse_result(): q_00, q_01, q_02, q_03 = [cirq.GridQubit(0, index) for index in range(4)] gate = cirq.FSimGate(theta=np.pi / 4, phi=0.0) 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, ), ) result = cirq.google.CalibrationResult( code=cirq.google.api.v2.calibration_pb2.SUCCESS, error_message=None, token=None, valid_until=None, metrics=cirq.google.Calibration( cirq.google.api.v2.metrics_pb2.MetricsSnapshot(metrics=[ cirq.google.api.v2.metrics_pb2.Metric( name='angles', targets=[ '0_qubit_a', '0_qubit_b', '0_theta_est', '0_zeta_est', '0_phi_est', '1_qubit_a', '1_qubit_b', '1_theta_est', '1_zeta_est', '1_phi_est', ], values=[ cirq.google.api.v2.metrics_pb2.Value(str_val='0_0'), cirq.google.api.v2.metrics_pb2.Value(str_val='0_1'), cirq.google.api.v2.metrics_pb2.Value(double_val=0.1), cirq.google.api.v2.metrics_pb2.Value(double_val=0.2), cirq.google.api.v2.metrics_pb2.Value(double_val=0.3), cirq.google.api.v2.metrics_pb2.Value(str_val='0_2'), cirq.google.api.v2.metrics_pb2.Value(str_val='0_3'), cirq.google.api.v2.metrics_pb2.Value(double_val=0.4), cirq.google.api.v2.metrics_pb2.Value(double_val=0.5), cirq.google.api.v2.metrics_pb2.Value(double_val=0.6), ], ) ])), ) assert request.parse_result(result) == PhasedFSimCalibrationResult( parameters={ (q_00, q_01): PhasedFSimCharacterization(theta=0.1, zeta=0.2, chi=None, gamma=None, phi=0.3), (q_02, q_03): PhasedFSimCharacterization(theta=0.4, zeta=0.5, chi=None, gamma=None, phi=0.6), }, gate=gate, options=FloquetPhasedFSimCalibrationOptions( characterize_theta=True, characterize_zeta=True, characterize_chi=False, characterize_gamma=False, characterize_phi=True, ), )