Sampler
class qiskit.primitives.Sampler(*, options=None)
Bases: BaseSamplerV1[PrimitiveJob[SamplerResult]]
Sampler class.
Sampler is a reference implementation of BaseSampler.
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.
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