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.

매개변수

• 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.

반환 형식

Tuple[float, float]

반환

The specified confidence interval.

예외 발생

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

• NotImplementedError – If the method kind is not supported.