qiskit.algorithms.MaximumLikelihoodAmplitudeEstimation.compute_confidence_interval

static MaximumLikelihoodAmplitudeEstimation.compute_confidence_interval(result, alpha, kind='fisher', apply_post_processing=False)

Compute the alpha confidence interval using the method kind.

The confidence level is (1 - alpha) and supported kinds are ‘fisher’, ‘likelihood_ratio’ and ‘observed_fisher’ with shorthand notations ‘fi’, ‘lr’ and ‘oi’, respectively.

Parameters

• result (MaximumLikelihoodAmplitudeEstimationResult) – A maximum likelihood amplitude estimation result.

• alpha (float) – The confidence level.

• kind (str) – The method to compute the confidence interval. Defaults to ‘fisher’, which computes the theoretical Fisher information.

• apply_post_processing (bool) – If True, apply post-processing to the confidence interval.

Return type

Tuple[float, float]

Returns

The specified confidence interval.

Raises

• AlgorithmError – If run() hasn’t been called yet.

• NotImplementedError – If the method kind is not supported.