BaseSampler
class qiskit.primitives.BaseSampler(*, options=None)
Bases: BasePrimitive, Generic(opens in a new tab)[T]
Sampler base class
Base class of Sampler that calculates quasi-probabilities of bitstrings from quantum circuits.
Parameters
options (dict(opens in a new tab) | 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
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(opens in a new tab)] | Sequence[Sequence[float(opens in a new tab)]] | 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(opens in a new tab) – 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