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SamplingVQEResult

qiskit.algorithms.minimum_eigensolvers.SamplingVQEResult GitHub(opens in a new tab)

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

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