---
title: AdaptVQEResult (v0.46)
description: API reference for qiskit.algorithms.minimum_eigensolvers.AdaptVQEResult in qiskit v0.46
source: https://eu-de.quantum.cloud.ibm.com/docs/en/api/qiskit/0.46/qiskit.algorithms.minimum_eigensolvers.AdaptVQEResult
---

# AdaptVQEResult

*class* `qiskit.algorithms.minimum_eigensolvers.AdaptVQEResult`

[GitHub](https://github.com/qiskit/qiskit/tree/stable/0.46/qiskit/algorithms/minimum_eigensolvers/adapt_vqe.py)

Bases: [`VQEResult`](/docs/api/qiskit/0.46/qiskit.algorithms.minimum_eigensolvers.VQEResult "qiskit.algorithms.minimum_eigensolvers.vqe.VQEResult")

AdaptVQE Result.

## Attributes

### aux\_operators\_evaluated

The aux operator expectation values.

These values are in fact tuples formatted as (mean, (variance, shots)).

### cost\_function\_evals

The number of cost optimizer evaluations.

### eigenvalue

The computed minimum eigenvalue.

### eigenvalue\_history

Returns the history of computed eigenvalues.

The history’s length matches the number of iterations and includes the final computed value.

### final\_max\_gradient

Returns the final maximum gradient.

### num\_iterations

Returns the number of iterations.

### 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

### termination\_criterion

Returns the termination criterion.

## 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**](https://docs.python.org/3/library/exceptions.html#TypeError) – Argument is None