IterativeAmplitudeEstimationResult#

class IterativeAmplitudeEstimationResult[source]#

Bases: AmplitudeEstimatorResult

The IterativeAmplitudeEstimation result object.

Attributes

alpha#

Return the confidence level \(\alpha\).

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.

epsilon_estimated#

Return the estimated half-width of the confidence interval.

epsilon_estimated_processed#

Return the post-processed estimated half-width of the confidence interval.

epsilon_target#

Return the target half-width of the confidence interval.

estimate_intervals#

Return the confidence intervals for the estimate in each iteration.

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.

num_oracle_queries#

Return the number of Grover oracle queries.

post_processing#

Return a handle to the post processing function.

powers#

Return the powers of the Grover operator in each iteration.

ratios#

Return the ratios \(K_{i+1}/K_{i}\) for each iteration \(i\).

shots#

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

theta_intervals#

Return the confidence intervals for the angles in each iteration.

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