Sampler¶

class Sampler(circuits: Iterable[QuantumCircuit] | QuantumCircuit | None = None, parameters: Iterable[Iterable[Parameter]] | None = None, **kwargs)[source]¶

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.

Paramètres

circuits – circuits to be executed
parameters – Parameters of each of the quantum circuits. Defaults to [circ.parameters for circ in circuits].
options – Default options.

Lève

QiskitError – if some classical bits are not used for measurements.

Methods

`close`	Close the session and free resources
`run`	Run the job of the sampling of bitstrings.
`set_options`	Set options values for the estimator.

Attributes

circuits¶

Quantum circuits to be sampled.

options¶

Return options values for the estimator.

parameters¶

Parameters of quantum circuits.