34 lines
1.5 KiB
Plaintext
34 lines
1.5 KiB
Plaintext
---
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title: sampled_expectation_value
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description: API reference for qiskit.result.sampled_expectation_value
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in_page_toc_min_heading_level: 1
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python_api_type: function
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python_api_name: qiskit.result.sampled_expectation_value
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---
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# qiskit.result.sampled\_expectation\_value
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<Function id="qiskit.result.sampled_expectation_value" isDedicatedPage={true} github="https://github.com/qiskit/qiskit/tree/stable/0.23/qiskit/result/sampled_expval.py" signature="sampled_expectation_value(dist, oper)">
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Computes expectation value from a sampled distribution
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Note that passing a raw dict requires bit-string keys.
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**Parameters**
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* **dist** ([*Counts*](qiskit.result.Counts "qiskit.result.Counts") *or*[*QuasiDistribution*](qiskit.result.QuasiDistribution "qiskit.result.QuasiDistribution") *or*[*ProbDistribution*](qiskit.result.ProbDistribution "qiskit.result.ProbDistribution") *or dict*) – Input sampled distribution
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* **oper** (*str or* [*Pauli*](qiskit.quantum_info.Pauli "qiskit.quantum_info.Pauli") *or*[*PauliOp*](qiskit.opflow.primitive_ops.PauliOp "qiskit.opflow.primitive_ops.PauliOp") *or*[*PauliSumOp*](qiskit.opflow.primitive_ops.PauliSumOp "qiskit.opflow.primitive_ops.PauliSumOp") *or*[*SparsePauliOp*](qiskit.quantum_info.SparsePauliOp "qiskit.quantum_info.SparsePauliOp")) – The operator for the observable
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**Returns**
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The expectation value
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**Return type**
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float
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**Raises**
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**QiskitError** – if the input distribution or operator is an invalid type
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</Function>
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