Simulation utilities (qiskit_addon_cutting.utils.simulation
)¶
Simulation of precise measurement outcome probabilities.
- simulate_statevector_outcomes(qc, /)[source]¶
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:
- Parameters:
qc (QuantumCircuit)
- class ExactSampler(*, options=None)[source]¶
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
andqiskit_aer.primitives
do not currently support all of the above functionality. Related upstream issues:- Parameters:
options (dict | None) – Default options.
- 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 asparameter_values[i]
.- Raises:
ValueError – Invalid arguments are given.
- set_options(**fields)¶
Set options values for the estimator.
- Parameters:
**fields – The fields to update the options