cirq_google.engine.noise_properties_from_calibration

Translates between cirq_google.Calibration and NoiseProperties.

cirq_google.engine.noise_properties_from_calibration(
    calibration: cirq_google.engine.Calibration,
    zphase_data: Optional[cirq_google.engine.util.ZPhaseDataType] = None,
    gate_times_ns: Optional[Dict[Type['cirq.Gate'], float]] = None
) -> cirq_google.devices.GoogleNoiseProperties

The NoiseProperties object can then be used as input to the cirq_google.NoiseModelFromGoogleNoiseProperties class to create a cirq.NoiseModel that can be used with a simulator.

To manually override noise properties, call with_params on the output:

    noise_props = noise_properties_from_calibration(cal).with_params(gate_times_ns=37)
        # noise_props with all gate durations set to 37ns.

See cirq_google.GoogleNoiseProperties for details.

calibration a Calibration object with hardware metrics.
zphase_data Optional data for Z phases not captured by Calibration - specifically, zeta and gamma. These values require Floquet calibration and can be provided here if available.
gate_times_ns Map of gate durations in nanoseconds. If not provided, defaults to the Sycamore gate times listed in known_devices.py.

A cirq_google.GoogleNoiseProperties which represents the error present in the given Calibration object.