deltakit.explorer.analysis.calculate_lep_and_lep_stddev

deltakit.explorer.analysis.calculate_lep_and_lep_stddev(fails: ndarray[tuple[Any, ...], dtype[int64]] | Sequence[int] | int, shots: ndarray[tuple[Any, ...], dtype[int64]] | Sequence[int] | int) → tuple[ndarray[tuple[Any, ...], dtype[float64]], ndarray[tuple[Any, ...], dtype[float64]]]

Calculate the logical error probability and its standard deviation.

Parameters:

• fails (npt.NDArray[np.int_] | Sequence[int] | int) – The number of logical failures.

• shots (npt.NDArray[np.int_] | Sequence[int] | int) – The number of shots the experiment was run for.

Returns:

A tuple consisting of - the logical error probability; - the standard deviation of the logical error probability.

Return type:

tuple[npt.NDArray[np.float64], npt.NDArray[np.float64]]

Examples

Calculating logical error probability and standard deviation given number of fails, and number of shots:

lep, lep_stddev = Analysis.calculate_lep_and_lep_stddev(
    fails=[498, 151, 34],
    shots=[500000] * 3,
)