SamplingVQEResult
class SamplingVQEResult
Bases: qiskit.algorithms.variational_algorithm.VariationalResult, qiskit.algorithms.minimum_eigensolvers.sampling_mes.SamplingMinimumEigensolverResult
VQE Result.
Methods
combine
SamplingVQEResult.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
Return aux operator expectation values and metadata.
These are formatted as (mean, metadata).
best_measurement
Return the best measurement over the entire optimization.
Possesses keys: state, bitstring, value, probability.
cost_function_evals
Returns number of cost optimizer evaluations
Return type
int | None
eigenstate
Return the quasi-distribution sampled from the final state.
The ansatz is sampled when parameterized with the optimal parameters that where obtained computing the minimum eigenvalue. The keys represent a measured classical value and the value is a float for the quasi-probability of that result.
Return type
QuasiDistribution | None
eigenvalue
Return the approximation to the eigenvalue.
Return type
complex | None
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]