Skip to main contentIBM Quantum Documentation

Simulation utilities

qiskit_addon_cutting.utils.simulation

Simulation of precise measurement outcome probabilities.

simulate_statevector_outcomes

simulate_statevector_outcomes(qc, /)

GitHub

Return each classical outcome along with its precise probability.

Circuit can contain mid-circuit, projective measurements.

All gates are supported, along with measurements and reset operations.

Return type

dict[int, float]

Parameters

qc (QuantumCircuit)

ExactSampler

class ExactSampler(*, options=None)

GitHub

Bases: BaseSamplerV1

Sampler which returns exact probabilities for each possible outcome.

This sampler supports:

  • all unitary gates
  • projective measurements, anywhere in the circuit
  • reset operations, anywhere in the circuit
  • some (or all) classical bits can remain unused
  • classical bits can be written more than once

The samplers provided by qiskit.primitives and qiskit_aer.primitives do not currently support all of the above functionality. Related upstream issues:

Parameters

options (dict | None) – Default options.

options

Type: Options

Return options values for the estimator.

Returns

options

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.

Return type

T

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.

set_options

set_options(**fields)

Set options values for the estimator.

Parameters

**fields – The fields to update the options

Was this page helpful?
Report a bug or request content on GitHub.