SamplerResult

class qiskit.primitives.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.

Parameters:

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

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

Attributes

experiments

Experiment data dicts in any inheriting result dataclass.

num_experiments

Number of experiments in any inheriting result dataclass.

quasi_dists: list[qiskit.result.distributions.quasi.QuasiDistribution]

metadata: list[dict[str, Any]]

Methods

decompose()

Generate single experiment result objects from self.

Return type:

Iterator[BasePrimitiveResult]