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AdaptVQEResult

qiskit.algorithms.minimum_eigensolvers.AdaptVQEResult GitHub(opens in a new tab)

Bases: VQEResult

AdaptVQE Result.


Attributes

aux_operators_evaluated

The aux operator expectation values.

These values are in fact tuples formatted as (mean, (variance, shots)).

cost_function_evals

The number of cost optimizer evaluations.

eigenvalue

The computed minimum eigenvalue.

eigenvalue_history

Returns the history of computed eigenvalues.

The history’s length matches the number of iterations and includes the final computed value.

final_max_gradient

Returns the final maximum gradient.

num_iterations

Returns the number of iterations.

optimal_circuit

The optimal circuits. Along with the optimal parameters, these can be used to retrieve the minimum eigenstate.

optimal_parameters

Returns the optimal parameters in a dictionary

optimal_point

Returns optimal point

optimal_value

Returns optimal value

optimizer_evals

Returns number of optimizer evaluations

optimizer_result

Returns the optimizer result

optimizer_time

Returns time taken for optimization

termination_criterion

Returns the termination criterion.


Methods

combine

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(opens in a new tab) – Argument is None

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