AmplitudeEstimationResult#

class AmplitudeEstimationResult[source]#

Bases: AmplitudeEstimatorResult

The AmplitudeEstimation 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.

max_probability#

Return the maximum sampling probability.

measurements#

Return the measurements as integers with their measurement probability.

mle#

Return the MLE for the amplitude, in $[0, 1]$.

mle_processed#

Return the post-processed MLE for the amplitude.

num_evaluation_qubits#

Returns the number of evaluation qubits.

num_oracle_queries#

Return the number of Grover oracle queries.

post_processing#

Return a handle to the post processing function.

samples#

Return the measurement samples with their measurement probability.

samples_processed#

Return the post-processed measurement samples with their measurement probability.

shots#

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

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