EstimatorResult
class EstimatorResult(values, metadata)
Bases: 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.
Parameters
- values (np.ndarray) – The array of the expectation values.
- metadata (list[dict]) – List of the metadata.
Methods
decompose
EstimatorResult.decompose()
Generate single experiment result objects from self.
Return type
Iterator[BasePrimitiveResult]
Attributes
experiments
Experiment data dicts in any inheriting result dataclass.
num_experiments
Number of experiments in any inheriting result dataclass.
values
Type: np.ndarray[Any, np.dtype[np.float64]]
metadata
Type: list[dict[str, Any]]
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