BaseSampler

class qiskit.primitives.BaseSampler(*, options=None)[source]

Bases: BasePrimitive, Generic[T]

Sampler base class

Base class of Sampler that calculates quasi-probabilities of bitstrings from quantum circuits.

Parameters:

options (dict | None) – Default options.

Attributes

circuits

Quantum circuits to be sampled.

Returns:

The quantum circuits to be sampled.

options

Return options values for the estimator.

Returns:

options

parameters

Parameters of quantum circuits.

Returns:

List of the parameters in each quantum circuit.

Methods

run(circuits, parameter_values=None, **run_options)[source]

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(**fields)

Set options values for the estimator.

Parameters:

**fields – The fields to update the options