AdaptVQEResult
class qiskit.algorithms.minimum_eigensolvers.AdaptVQEResult
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