Spanish
Languages
English
Bengali
French
German
Japanese
Korean
Portuguese
Spanish
Tamil

qiskit.opflow.state_fns.CVaRMeasurement.get_outcome_energies_probabilities

CVaRMeasurement.get_outcome_energies_probabilities(front=None)[fuente]

In order to compute the CVaR of an observable expectation, we require the energies of each sampled measurement outcome as well as the sampling probability of each measurement outcome. Note that the counts for each measurement outcome will also suffice (and this is often how the CVaR is presented).

Parámetros

front (Union[str, dict, ndarray, OperatorBase, Statevector, None]) – A StateFn or a primitive which defines a StateFn. This input holds the results of a sampled/simulated circuit.

Tipo del valor devuelto

Tuple[list, list]

Devuelve

Two lists of equal length. energies contains the energy of each

unique measurement outcome computed against the diagonal observable stored in self.primitive. probabilities contains the corresponding sampling probability for each measurement outcome in energies.

Muestra

ValueError – front isn’t a DictStateFn or VectorStateFn