SamplerResult#

class qiskit.primitives.SamplerResult(quasi_dists, metadata)[source]#

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[QuasiDistribution]#

metadata: list[dict[str, Any]]#

Methods

decompose()#

Generate single experiment result objects from self.

Return type:: Iterator[BasePrimitiveResult]