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.
Parameters
- quasi_dists (list[QuasiDistribution]) – List of the quasi-probabilities.
- metadata (list[dict]) – List of the metadata.
Methods
decompose
SamplerResult.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.
quasi_dists
Type: list[QuasiDistribution]
metadata
Type: list[dict[str, Any]]
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