def test_xeb_parse_result_failure():
gate = cirq.FSimGate(theta=np.pi / 4, phi=0.0)
request = XEBPhasedFSimCalibrationRequest(
gate=gate,
pairs=(),
options=XEBPhasedFSimCalibrationOptions(
fsim_options=XEBPhasedFSimCharacterizationOptions(
characterize_theta=False,
characterize_zeta=False,
characterize_chi=False,
characterize_gamma=False,
characterize_phi=True,
)),
)
result = cirq_google.CalibrationResult(
code=cirq_google.api.v2.calibration_pb2.ERROR_CALIBRATION_FAILED,
error_message="Test message",
token=None,
valid_until=None,
metrics=cirq_google.Calibration(),
)
with pytest.raises(PhasedFSimCalibrationError, match='Test message'):
request.parse_result(result)
def test_xeb_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 = XEBPhasedFSimCalibrationRequest(
gate=gate,
pairs=((q_00, q_01), (q_02, q_03)),
options=XEBPhasedFSimCalibrationOptions(
fsim_options=XEBPhasedFSimCharacterizationOptions(
characterize_theta=False,
characterize_zeta=False,
characterize_chi=False,
characterize_gamma=False,
characterize_phi=True,
)),
)
result = _load_xeb_results_textproto()
assert request.parse_result(result) == PhasedFSimCalibrationResult(
parameters={
(q_00, q_01): PhasedFSimCharacterization(phi=0.0,
theta=-0.7853981),
(q_02, q_03): PhasedFSimCharacterization(phi=0.0,
theta=-0.7853981),
},
gate=gate,
options=request.options,
)
def test_xeb_to_calibration_layer():
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 = XEBPhasedFSimCalibrationRequest(
gate=gate,
pairs=((q_00, q_01), (q_02, q_03)),
options=XEBPhasedFSimCalibrationOptions(
n_library_circuits=22,
fsim_options=XEBPhasedFSimCharacterizationOptions(
characterize_theta=True,
characterize_zeta=True,
characterize_chi=False,
characterize_gamma=False,
characterize_phi=True,
),
),
)
layer = request.to_calibration_layer()
assert layer == cirq_google.CalibrationLayer(
calibration_type='xeb_phased_fsim_characterization',
program=cirq.Circuit([gate.on(q_00, q_01),
gate.on(q_02, q_03)]),
args={
'n_library_circuits': 22,
'n_combinations': 10,
'cycle_depths': '5_25_50_100_200_300',
'fatol': 5e-3,
'xatol': 5e-3,
'characterize_theta': True,
'characterize_zeta': True,
'characterize_chi': False,
'characterize_gamma': False,
'characterize_phi': True,
'theta_default': 0.0,
'zeta_default': 0.0,
'chi_default': 0.0,
'gamma_default': 0.0,
'phi_default': 0.0,
},
)
# Serialize to proto
calibration = v2.calibration_pb2.FocusedCalibration()
new_layer = calibration.layers.add()
new_layer.calibration_type = layer.calibration_type
for arg in layer.args:
arg_to_proto(layer.args[arg], out=new_layer.args[arg])
cirq_google.SQRT_ISWAP_GATESET.serialize(layer.program,
msg=new_layer.layer)
with open(
os.path.dirname(__file__) +
'/test_data/xeb_calibration_layer.textproto') as f:
desired_textproto = f.read()
layer_str = str(new_layer)
# Fix precision issues
layer_str = re.sub(r'0.004999\d+', '0.005', layer_str)
assert layer_str == desired_textproto
