AdaptVQEResult
class AdaptVQEResult
Bases: qiskit.algorithms.minimum_eigensolvers.vqe.VQEResult
AdaptVQE Result.
Methods
combine
AdaptVQEResult.combine(result)
Any property from the argument that exists in the receiver is updated. :type result: AlgorithmResult :param result: Argument result with properties to be set.
Raises
TypeError – Argument is None
Return type
None
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.
Return type
int | None
eigenvalue
The computed minimum eigenvalue.
Return type
complex | None
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.
Return type
float
num_iterations
Returns the number of iterations.
Return type
int
optimal_circuit
The optimal circuits. Along with the optimal parameters, these can be used to retrieve the minimum eigenstate.
Return type
optimal_parameters
Returns the optimal parameters in a dictionary
Return type
Optional[Dict]
optimal_point
Returns optimal point
Return type
Optional[ndarray]
optimal_value
Returns optimal value
Return type
Optional[float]
optimizer_evals
Returns number of optimizer evaluations
Return type
Optional[int]
optimizer_result
optimizer_time
Returns time taken for optimization
Return type
Optional[float]
termination_criterion
Returns the termination criterion.
Return type
str