181 lines
5.7 KiB
Plaintext
181 lines
5.7 KiB
Plaintext
---
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title: MaximumLikelihoodAmplitudeEstimationResult
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description: API reference for qiskit.aqua.algorithms.MaximumLikelihoodAmplitudeEstimationResult
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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.aqua.algorithms.MaximumLikelihoodAmplitudeEstimationResult
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---
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# MaximumLikelihoodAmplitudeEstimationResult
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<Class id="qiskit.aqua.algorithms.MaximumLikelihoodAmplitudeEstimationResult" isDedicatedPage={true} github="https://github.com/qiskit-community/qiskit-aqua/tree/stable/0.9/qiskit/aqua/algorithms/amplitude_estimators/mlae.py" signature="MaximumLikelihoodAmplitudeEstimationResult(a_dict=None)" modifiers="class">
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Bases: `qiskit.aqua.algorithms.amplitude_estimators.ae_algorithm.AmplitudeEstimationAlgorithmResult`
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MaximumLikelihoodAmplitudeEstimation Result.
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## Methods
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### clear
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<Function id="qiskit.aqua.algorithms.MaximumLikelihoodAmplitudeEstimationResult.clear" signature="MaximumLikelihoodAmplitudeEstimationResult.clear()">
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**Return type**
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`None`
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</Function>
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### combine
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<Function id="qiskit.aqua.algorithms.MaximumLikelihoodAmplitudeEstimationResult.combine" signature="MaximumLikelihoodAmplitudeEstimationResult.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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### copy
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<Function id="qiskit.aqua.algorithms.MaximumLikelihoodAmplitudeEstimationResult.copy" signature="MaximumLikelihoodAmplitudeEstimationResult.copy()" />
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### from\_dict
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<Function id="qiskit.aqua.algorithms.MaximumLikelihoodAmplitudeEstimationResult.from_dict" signature="MaximumLikelihoodAmplitudeEstimationResult.from_dict(a_dict)" modifiers="static">
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create new object from a dictionary
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**Return type**
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`MaximumLikelihoodAmplitudeEstimationResult`
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</Function>
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### fromkeys
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<Function id="qiskit.aqua.algorithms.MaximumLikelihoodAmplitudeEstimationResult.fromkeys" signature="MaximumLikelihoodAmplitudeEstimationResult.fromkeys(iterable, value=None)" modifiers="classmethod" />
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### get
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<Function id="qiskit.aqua.algorithms.MaximumLikelihoodAmplitudeEstimationResult.get" signature="MaximumLikelihoodAmplitudeEstimationResult.get(k[, d]) → D[k] if k in D, else d. d defaults to None." />
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### items
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<Function id="qiskit.aqua.algorithms.MaximumLikelihoodAmplitudeEstimationResult.items" signature="MaximumLikelihoodAmplitudeEstimationResult.items() → a set-like object providing a view on D’s items" />
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### keys
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<Function id="qiskit.aqua.algorithms.MaximumLikelihoodAmplitudeEstimationResult.keys" signature="MaximumLikelihoodAmplitudeEstimationResult.keys() → a set-like object providing a view on D’s keys" />
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### pop
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<Function id="qiskit.aqua.algorithms.MaximumLikelihoodAmplitudeEstimationResult.pop" signature="MaximumLikelihoodAmplitudeEstimationResult.pop(key, default=None)">
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If key is not found, d is returned if given, otherwise KeyError is raised.
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**Return type**
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`object`
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</Function>
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### popitem
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<Function id="qiskit.aqua.algorithms.MaximumLikelihoodAmplitudeEstimationResult.popitem" signature="MaximumLikelihoodAmplitudeEstimationResult.popitem()">
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as a 2-tuple; but raise KeyError if D is empty.
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**Return type**
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`Tuple`\[`object`, `object`]
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</Function>
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### setdefault
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<Function id="qiskit.aqua.algorithms.MaximumLikelihoodAmplitudeEstimationResult.setdefault" signature="MaximumLikelihoodAmplitudeEstimationResult.setdefault(k[, d]) → D.get(k,d), also set D[k]=d if k not in D" />
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### update
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<Function id="qiskit.aqua.algorithms.MaximumLikelihoodAmplitudeEstimationResult.update" signature="MaximumLikelihoodAmplitudeEstimationResult.update(*args, **kwargs)">
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If E present and has a .keys() method, does: for k in E: D\[k] = E\[k] If E present and lacks .keys() method, does: for (k, v) in E: D\[k] = v In either case, this is followed by: for k, v in F.items(): D\[k] = v
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**Return type**
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`None`
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</Function>
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### values
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<Function id="qiskit.aqua.algorithms.MaximumLikelihoodAmplitudeEstimationResult.values" signature="MaximumLikelihoodAmplitudeEstimationResult.values() → an object providing a view on D’s values" />
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## Attributes
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### a\_estimation
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<Attribute id="qiskit.aqua.algorithms.MaximumLikelihoodAmplitudeEstimationResult.a_estimation">
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return a\_estimation
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**Return type**
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`float`
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</Attribute>
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### circuit\_results
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<Attribute id="qiskit.aqua.algorithms.MaximumLikelihoodAmplitudeEstimationResult.circuit_results">
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return circuit results
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**Return type**
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`Union`\[`List`\[`ndarray`], `List`\[`Dict`\[`str`, `int`]], `None`]
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</Attribute>
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### confidence\_interval
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<Attribute id="qiskit.aqua.algorithms.MaximumLikelihoodAmplitudeEstimationResult.confidence_interval">
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return confidence\_interval
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**Return type**
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`List`\[`float`]
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</Attribute>
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### estimation
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<Attribute id="qiskit.aqua.algorithms.MaximumLikelihoodAmplitudeEstimationResult.estimation">
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return estimation
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**Return type**
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`float`
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</Attribute>
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### fisher\_information
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<Attribute id="qiskit.aqua.algorithms.MaximumLikelihoodAmplitudeEstimationResult.fisher_information">
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return fisher\_information
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**Return type**
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`float`
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</Attribute>
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### num\_oracle\_queries
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<Attribute id="qiskit.aqua.algorithms.MaximumLikelihoodAmplitudeEstimationResult.num_oracle_queries">
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return num\_oracle\_queries
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**Return type**
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`int`
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</Attribute>
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### theta
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<Attribute id="qiskit.aqua.algorithms.MaximumLikelihoodAmplitudeEstimationResult.theta">
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returns theta
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**Return type**
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`float`
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</Attribute>
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</Class>
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