SamplerResult#
- class qiskit.primitives.SamplerResult(quasi_dists, metadata)[Quellcode]#
Bases:
BasePrimitiveResult
Result of Sampler.
result = sampler.run(circuits, params).result()
where the i-th elements of
result
correspond to the circuit given bycircuits[i]
, and the parameter values bounds byparams[i]
. For example,results.quasi_dists[i]
gives the quasi-probabilities of bitstrings, andresult.metadata[i]
is a metadata dictionary for this circuit and parameters.- Parameter:
quasi_dists (list[QuasiDistribution]) – List of the quasi-probabilities.
Attributes
- experiments#
Experiment data dicts in any inheriting result dataclass.
- num_experiments#
Number of experiments in any inheriting result dataclass.
- quasi_dists: list[QuasiDistribution]#
Methods
- decompose()#
Generate single experiment result objects from self.
- Rückgabetyp:
Iterator[BasePrimitiveResult]