ExperimentResult

class forest.benchmarking.observable_estimation.ExperimentResult(setting: forest.benchmarking.observable_estimation.ExperimentSetting, expectation: Union[float, complex], total_counts: int, std_err: Union[float, complex] = None, raw_expectation: Union[float, complex] = None, raw_std_err: float = None, calibration_expectation: Union[float, complex] = None, calibration_std_err: Union[float, complex] = None, calibration_counts: int = None)

An expectation and standard deviation for the measurement of one experiment setting in an ObservablesExperiment.

In the case of readout error calibration, we also include expectation, standard deviation and count for the calibration results, as well as the expectation and standard deviation for the corrected results.