Sampler
class qiskit.primitives.Sampler(*, options=None)
Bases: BaseSampler[PrimitiveJob[SamplerResult]]
Sampler V1 class.
Sampler is a reference implementation of BaseSampler (V1).
Run Options
- shots (None or int) – The number of shots. If None, it calculates the probabilities. Otherwise, it samples from multinomial distributions.
- seed (np.random.Generator or int) – Set a fixed seed or generator for the multinomial distribution. If shots is None, this option is ignored.
The class qiskit.primitives.sampler.Sampler is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the BaseSamplerV1 interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the Sampler class is StatevectorSampler.
Parameters
options (dict | None) – Default options.
Raises
QiskitError – if some classical bits are not used for measurements.
Attributes
options
Return options values for the estimator.
Returns
options
Methods
run
run(circuits, parameter_values=None, **run_options)
Run the job of the sampling of bitstrings.
Parameters
- circuits (QuantumCircuit | Sequence[QuantumCircuit]) – One of more circuit objects.
- parameter_values (Sequence[float] | Sequence[Sequence[float]] | None) – Parameters to be bound to the circuit.
- run_options – Backend runtime options used for circuit execution.
Returns
The job object of the result of the sampler. The i-th result corresponds to circuits[i] evaluated with parameters bound as parameter_values[i].
Raises
ValueError – Invalid arguments are given.
Return type
T
set_options
set_options(**fields)
Set options values for the estimator.
Parameters
**fields – The fields to update the options