MaximumLikelihoodAmplitudeEstimationResult#

class MaximumLikelihoodAmplitudeEstimationResult[source]#

Bases: AmplitudeEstimatorResult

The MaximumLikelihoodAmplitudeEstimation result object.

Attributes

circuit_results#

Return the circuit results. Can be a statevector or counts dictionary.

confidence_interval#

Return the confidence interval for the amplitude (95% interval by default).

confidence_interval_processed#

Return the post-processed confidence interval (95% interval by default).

estimation#

Return the estimation for the amplitude in \([0, 1]\).

estimation_processed#

Return the estimation for the amplitude after the post-processing has been applied.

evaluation_schedule#

Return the evaluation schedule for the powers of the Grover operator.

fisher_information#

Return the Fisher information for the estimated amplitude.

good_counts#

Return the percentage of good counts per circuit power.

minimizer#

Return the minimizer used for the search of the likelihood function.

num_oracle_queries#

Return the number of Grover oracle queries.

post_processing#

Return a handle to the post processing function.

shots#

Return the number of shots used. Is 1 for statevector-based simulations.

theta#

Return the estimate for the angle \(\theta\).

Methods

combine(result)#

Any property from the argument that exists in the receiver is updated. :param result: Argument result with properties to be set.

Raises:

TypeError – Argument is None