SamplingVQEResult
class qiskit.algorithms.minimum_eigensolvers.SamplingVQEResult
Bases: VariationalResult, SamplingMinimumEigensolverResult
VQE Result.
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
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.
eigenvalue
Return the approximation to the eigenvalue.
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
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