# SamplingMinimumEigensolverResult

`qiskit.algorithms.minimum_eigensolvers.SamplingMinimumEigensolverResult`

Bases: `AlgorithmResult`

Sampling Minimum Eigensolver Result.

In contrast to the result of a `MinimumEigenSolver`

, this result also contains the best measurement of the overall optimization and the samples of the final state.

## 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`

.

### 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.

## 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