95 lines
2.7 KiB
Plaintext
95 lines
2.7 KiB
Plaintext
---
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title: VQDResult
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description: API reference for qiskit.algorithms.eigensolvers.VQDResult
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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.eigensolvers.VQDResult
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---
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# VQDResult
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<Class id="qiskit.algorithms.eigensolvers.VQDResult" isDedicatedPage={true} github="https://github.com/qiskit/qiskit/tree/stable/0.22/qiskit/algorithms/eigensolvers/vqd.py" signature="VQDResult" modifiers="class">
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Bases: [`qiskit.algorithms.eigensolvers.eigensolver.EigensolverResult`](qiskit.algorithms.eigensolvers.EigensolverResult "qiskit.algorithms.eigensolvers.eigensolver.EigensolverResult")
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VQD Result.
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## Methods
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### combine
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<Function id="qiskit.algorithms.eigensolvers.VQDResult.combine" signature="VQDResult.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.eigensolvers.VQDResult.aux_operators_evaluated">
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Return the aux operator expectation values.
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These values are in fact tuples formatted as (mean, metadata).
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</Attribute>
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### cost\_function\_evals
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<Attribute id="qiskit.algorithms.eigensolvers.VQDResult.cost_function_evals">
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Returns number of cost optimizer evaluations
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</Attribute>
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### eigenvalues
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<Attribute id="qiskit.algorithms.eigensolvers.VQDResult.eigenvalues">
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Return the eigenvalues.
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**Return type**
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np.ndarray | None
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</Attribute>
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### optimal\_circuits
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<Attribute id="qiskit.algorithms.eigensolvers.VQDResult.optimal_circuits">
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The optimal circuits. Along with the optimal parameters, these can be used to retrieve the different eigenstates.
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</Attribute>
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### optimal\_parameters
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<Attribute id="qiskit.algorithms.eigensolvers.VQDResult.optimal_parameters">
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Returns the optimal parameters for each step
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</Attribute>
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### optimal\_points
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<Attribute id="qiskit.algorithms.eigensolvers.VQDResult.optimal_points">
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Returns optimal point for each step
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</Attribute>
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### optimal\_values
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<Attribute id="qiskit.algorithms.eigensolvers.VQDResult.optimal_values">
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Returns optimal value for each step
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</Attribute>
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### optimizer\_results
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<Attribute id="qiskit.algorithms.eigensolvers.VQDResult.optimizer_results">
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Returns the optimizer results for each step
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</Attribute>
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### optimizer\_times
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<Attribute id="qiskit.algorithms.eigensolvers.VQDResult.optimizer_times">
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Returns time taken for optimization for each step
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</Attribute>
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</Class>
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