AmplitudeEstimationResult¶

class AmplitudeEstimationResult[código fonte]¶

Bases: AmplitudeEstimatorResult

The AmplitudeEstimation result object.

Methods

combine

Any property from the argument that exists in the receiver is updated.

Attributes

circuit_results¶

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

Tipo de retorno: Union[ndarray, Dict[str, int], None]

confidence_interval¶

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

Tipo de retorno: Tuple[float, float]

confidence_interval_processed¶

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

Tipo de retorno: Tuple[float, float]

estimation¶

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

Tipo de retorno: float

estimation_processed¶

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

Tipo de retorno: float

max_probability¶

Return the maximum sampling probability.

Tipo de retorno: float

measurements¶

Return the measurements as integers with their measurement probability.

Tipo de retorno: Dict[int, float]

mle¶

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

Tipo de retorno: float

mle_processed¶

Return the post-processed MLE for the amplitude.

Tipo de retorno: float

num_evaluation_qubits¶

Returns the number of evaluation qubits.

Tipo de retorno: int

num_oracle_queries¶

Return the number of Grover oracle queries.

Tipo de retorno: int

post_processing¶

Return a handle to the post processing function.

Tipo de retorno: Callable[[float], float]

samples¶

Return the measurement samples with their measurement probability.

Tipo de retorno: Dict[float, float]

samples_processed¶

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

Tipo de retorno: Dict[float, float]

shots¶

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

Tipo de retorno: int