Return aux operator expectation values and metadata.
These are formatted as (mean, metadata).
Return the best measurement over the entire optimization.
Returns number of cost optimizer evaluations
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 the approximation to the eigenvalue.
The optimal circuits. Along with the optimal parameters, these can be used to retrieve the minimum eigenstate.
Returns the optimal parameters in a dictionary
Returns optimal point
Returns optimal value
Returns number of optimizer evaluations
Returns the optimizer result
Returns time taken for optimization
Any property from the argument that exists in the receiver is updated. :param result: Argument result with properties to be set.
TypeError (opens in a new tab) – Argument is None