133 lines
3.6 KiB
Plaintext
133 lines
3.6 KiB
Plaintext
---
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title: VQEResult
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description: API reference for qiskit.algorithms.minimum_eigensolvers.VQEResult
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in_page_toc_min_heading_level: 1
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python_api_type: class
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python_api_name: qiskit.algorithms.minimum_eigensolvers.VQEResult
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---
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# VQEResult
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<Class id="qiskit.algorithms.minimum_eigensolvers.VQEResult" isDedicatedPage={true} github="https://github.com/qiskit/qiskit/tree/stable/0.23/qiskit/algorithms/minimum_eigensolvers/vqe.py" signature="VQEResult" modifiers="class">
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Bases: `qiskit.algorithms.variational_algorithm.VariationalResult`, [`qiskit.algorithms.minimum_eigensolvers.minimum_eigensolver.MinimumEigensolverResult`](qiskit.algorithms.minimum_eigensolvers.MinimumEigensolverResult "qiskit.algorithms.minimum_eigensolvers.minimum_eigensolver.MinimumEigensolverResult")
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Variational quantum eigensolver result.
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## Methods
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### combine
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<Function id="qiskit.algorithms.minimum_eigensolvers.VQEResult.combine" signature="VQEResult.combine(result)">
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Any property from the argument that exists in the receiver is updated. :type result: `AlgorithmResult` :param result: Argument result with properties to be set.
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**Raises**
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**TypeError** – Argument is None
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**Return type**
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`None`
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</Function>
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## Attributes
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### aux\_operators\_evaluated
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<Attribute id="qiskit.algorithms.minimum_eigensolvers.VQEResult.aux_operators_evaluated">
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The aux operator expectation values.
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These values are in fact tuples formatted as (mean, (variance, shots)).
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</Attribute>
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### cost\_function\_evals
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<Attribute id="qiskit.algorithms.minimum_eigensolvers.VQEResult.cost_function_evals">
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The number of cost optimizer evaluations.
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**Return type**
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int | None
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</Attribute>
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### eigenvalue
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<Attribute id="qiskit.algorithms.minimum_eigensolvers.VQEResult.eigenvalue">
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The computed minimum eigenvalue.
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**Return type**
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complex | None
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</Attribute>
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### optimal\_circuit
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<Attribute id="qiskit.algorithms.minimum_eigensolvers.VQEResult.optimal_circuit">
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The optimal circuits. Along with the optimal parameters, these can be used to retrieve the minimum eigenstate.
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**Return type**
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[`QuantumCircuit`](qiskit.circuit.QuantumCircuit "qiskit.circuit.quantumcircuit.QuantumCircuit")
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</Attribute>
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### optimal\_parameters
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<Attribute id="qiskit.algorithms.minimum_eigensolvers.VQEResult.optimal_parameters">
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Returns the optimal parameters in a dictionary
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**Return type**
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`Optional`\[`Dict`]
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</Attribute>
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### optimal\_point
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<Attribute id="qiskit.algorithms.minimum_eigensolvers.VQEResult.optimal_point">
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Returns optimal point
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**Return type**
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`Optional`\[`ndarray`]
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</Attribute>
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### optimal\_value
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<Attribute id="qiskit.algorithms.minimum_eigensolvers.VQEResult.optimal_value">
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Returns optimal value
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**Return type**
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`Optional`\[`float`]
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</Attribute>
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### optimizer\_evals
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<Attribute id="qiskit.algorithms.minimum_eigensolvers.VQEResult.optimizer_evals">
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Returns number of optimizer evaluations
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**Return type**
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`Optional`\[`int`]
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</Attribute>
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### optimizer\_result
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<Attribute id="qiskit.algorithms.minimum_eigensolvers.VQEResult.optimizer_result">
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Returns the optimizer result
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**Return type**
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`Optional`\[[`OptimizerResult`](qiskit.algorithms.optimizers.OptimizerResult "qiskit.algorithms.optimizers.optimizer.OptimizerResult")]
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</Attribute>
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### optimizer\_time
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<Attribute id="qiskit.algorithms.minimum_eigensolvers.VQEResult.optimizer_time">
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Returns time taken for optimization
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**Return type**
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`Optional`\[`float`]
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</Attribute>
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</Class>
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