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IBM Quantum Platform
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Sampler

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

GitHub

Bases: qiskit.primitives.base_sampler.BaseSampler

Aer implementation of Sampler class.

Run Options

  • shots (None or int) – The number of shots. If None, it calculates the probabilities exactly. Otherwise, it samples from multinomial distributions.
  • seed (int) – Set a fixed seed for seed_simulator. If shots is None, this option is ignored.
Note

Precedence of seeding is as follows:

  1. seed_simulator in runtime (i.e. in __call__())
  2. seed in runtime (i.e. in __call__())
  3. seed_simulator of backend_options.
  4. default.

Parameters

  • circuits – Circuits to be executed.
  • parameters – Parameters of each of the quantum circuits. Defaults to [circ.parameters for circ in circuits].
  • backend_options – Options passed to AerSimulator.
  • transpile_options – Options passed to transpile.
  • skip_transpilation – if True, transpilation is skipped.

Methods

close

Sampler.close()

Close the session and free resources

Attributes

circuits

Quantum circuits to be sampled.

Returns

The quantum circuits to be sampled.

parameters

Parameters of quantum circuits.

Returns

List of the parameters in each quantum circuit.

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