TimeEvolutionResult#

class TimeEvolutionResult(evolved_state, aux_ops_evaluated=None, observables=None, times=None)[source]#

Bases: AlgorithmResult

Class for holding time evolution result.

evolved_state#

An evolved quantum state.

Type:

QuantumCircuit|Statevector

aux_ops_evaluated#

Optional list of observables for which expected values on an evolved state are calculated. These values are in fact tuples formatted as (mean, standard deviation).

Type:

ListOrDict[tuple[complex, complex]] | None

observables#

Optional list of observables for which expected on an evolved state are calculated at each timestep. These values are in fact lists of tuples formatted as (mean, standard deviation).

Type:

ListOrDict[tuple[np.ndarray, np.ndarray]] | None

times#

Optional list of times at which each observable has been evaluated.

Type:

np.array | None

Parameters:

  • evolved_state (QuantumCircuit | Statevector) – An evolved quantum state.

  • aux_ops_evaluated (ListOrDict[tuple[complex, dict[str, complex]]] | None) – Optional list of observables for which expected values on an evolved state are calculated. These values are in fact tuples formatted as (mean, standard deviation).

  • observables (list[ListOrDict[tuple[complex, dict[str, complex]]]] | None) – Optional list of observables for which expected values are calculated for each timestep. These values are in fact tuples formatted as (mean array, standard deviation array).

  • times (np.ndarray | None) – Optional list of times at which each observable has been evaluated.

Methods

combine(result)#

Any property from the argument that exists in the receiver is updated. :param result: Argument result with properties to be set.

Raises:

TypeError – Argument is None