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.

Parâmetros

• 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.

Tipo de retorno

Tuple[float, float]

Retorno

The specified confidence interval.

Levanta

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

• NotImplementedError – If the method kind is not supported.