36 lines
1.7 KiB
Plaintext
36 lines
1.7 KiB
Plaintext
---
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title: MeasureNoiseLearningOptions (v0.29)
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description: API reference for qiskit_ibm_runtime.options.MeasureNoiseLearningOptions in qiskit-ibm-runtime v0.29
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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_ibm_runtime.options.MeasureNoiseLearningOptions
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---
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# MeasureNoiseLearningOptions
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<Class id="qiskit_ibm_runtime.options.MeasureNoiseLearningOptions" isDedicatedPage={true} github="https://github.com/Qiskit/qiskit-ibm-runtime/tree/stable/0.29/qiskit_ibm_runtime/options/measure_noise_learning_options.py#L20-L40" signature="MeasureNoiseLearningOptions(*args, **kwargs)" modifiers="class">
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Options for measurement noise learning. This is only used by V2 Estimator.
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<Admonition title="Note" type="note">
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These options are only used when the resilience level or options specify a technique that requires measurement noise learning.
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</Admonition>
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**Parameters**
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* **num\_randomizations** – The number of random circuits to draw for the measurement learning experiment. Default: 32.
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* **shots\_per\_randomization** – The number of shots to use for the learning experiment per random circuit. If “auto”, the value will be chosen automatically based on the input PUBs. Default: “auto”.
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## Attributes
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### num\_randomizations
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<Attribute id="qiskit_ibm_runtime.options.MeasureNoiseLearningOptions.num_randomizations" attributeTypeHint="UnsetType | int" attributeValue="Unset" />
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### shots\_per\_randomization
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<Attribute id="qiskit_ibm_runtime.options.MeasureNoiseLearningOptions.shots_per_randomization" attributeTypeHint="UnsetType | int | Literal['auto']" attributeValue="Unset" />
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## Methods
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</Class>
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