Estimator
class Estimator(circuits: Iterable[QuantumCircuit] | QuantumCircuit, observables: Iterable[SparsePauliOp] | SparsePauliOp, *args, parameters: Iterable[Iterable[Parameter]] | None = None, **kwargs)
Bases: qiskit.primitives.base_estimator.BaseEstimator
Aer implmentation of Estimator.
Run Options
- shots (None or int) – The number of shots. If None and approximation is True, it calculates the exact expectation values. Otherwise, it calculates expectation values with sampling.
- seed (int) – Set a fixed seed for the sampling.
Note
Precedence of seeding for seed_simulator is as follows:
seed_simulatorin runtime (i.e. in__call__())seedin runtime (i.e. in__call__())seed_simulatorofbackend_options.- default.
seed is also used for sampling from a normal distribution when approximation is True.
Parameters
- circuits – Quantum circuits that represent quantum states.
- observables – Observables.
- parameters – Parameters of quantum circuits, specifying the order in which values will be bound. Defaults to
[circ.parameters for circ in circuits]The indexing is such thatparameters[i, j]is the j-th formal parameter ofcircuits[i]. - backend_options – Options passed to AerSimulator.
- transpile_options – Options passed to transpile.
- approximation – If True, it calculates expectation values with normal distribution approximation.
- skip_transpilation – If True, transpilation is skipped.
Methods
close
Estimator.close()
Close the session and free resources
Attributes
circuits
Quantum circuits that represents quantum states.
Returns
The quantum circuits.
observables
Observables to be estimated.
Returns
The observables.
parameters
Parameters of the quantum circuits.
Returns
Parameters, where parameters[i][j] is the j-th parameter of the i-th circuit.
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