SamplerResult

class SamplerResult(quasi_dists, metadata)

Bases: BasePrimitiveResult

Result of Sampler.

result = sampler.run(circuits, params).result()

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

Parámetros

• quasi_dists (list[QuasiDistribution]) – List of the quasi-probabilities.

• 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.

quasi_dists: list[QuasiDistribution]

metadata: list[dict[str, Any]]