EstimatorResult

class EstimatorResult(values, metadata)

ベースクラス: BasePrimitiveResult

Result of Estimator.

result = estimator.run(circuits, observables, params).result()

where the i-th elements of result correspond to the circuit and observable given by circuits[i], observables[i], and the parameter values bounds by params[i]. For example, results.values[i] gives the expectation value, and result.metadata[i] is a metadata dictionary for this circuit and parameters.

パラメータ

• values (np.ndarray) – The array of the expectation values.

• metadata (list[dict]) – List of the metadata.

Methods

decompose

Generate single experiment result objects from self.

Attributes

experiments

Experiment data dicts in any inheriting result dataclass.

num_experiments

Number of experiments in any inheriting result dataclass.

values: np.ndarray[Any, np.dtype[np.float64]]

metadata: list[dict[str, Any]]