64 lines
2.8 KiB
Plaintext
64 lines
2.8 KiB
Plaintext
---
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title: FastCNOTUnitObjective (latest version)
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description: API reference for qiskit.synthesis.unitary.aqc.FastCNOTUnitObjective in the latest version of qiskit
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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.synthesis.unitary.aqc.FastCNOTUnitObjective
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---
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# FastCNOTUnitObjective
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<Class id="qiskit.synthesis.unitary.aqc.FastCNOTUnitObjective" isDedicatedPage={true} github="https://github.com/Qiskit/qiskit/tree/stable/1.2/qiskit/synthesis/unitary/aqc/fast_gradient/fast_gradient.py#L34-L226" signature="qiskit.synthesis.unitary.aqc.FastCNOTUnitObjective(num_qubits, cnots)" modifiers="class">
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Bases: [`CNOTUnitObjective`](qiskit.synthesis.unitary.aqc.CNOTUnitObjective "qiskit.synthesis.unitary.aqc.cnot_unit_objective.CNOTUnitObjective")
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Implementation of objective function and gradient calculator, which is similar to `DefaultCNOTUnitObjective` but several times faster.
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**Parameters**
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* **num\_qubits** ([*int*](https://docs.python.org/3/library/functions.html#int "(in Python v3.13)")) – number of qubits.
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* **cnots** ([*ndarray*](https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray "(in NumPy v2.1)")) – a CNOT structure to be used in the optimization procedure.
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## Attributes
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### num\_cnots
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<Attribute id="qiskit.synthesis.unitary.aqc.FastCNOTUnitObjective.num_cnots">
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Returns: A number of CNOT units to be used by the approximate circuit.
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</Attribute>
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### num\_thetas
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<Attribute id="qiskit.synthesis.unitary.aqc.FastCNOTUnitObjective.num_thetas">
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Returns: Number of parameters (angles) of rotation gates in this circuit.
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</Attribute>
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### target\_matrix
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<Attribute id="qiskit.synthesis.unitary.aqc.FastCNOTUnitObjective.target_matrix">
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Returns: a matrix being approximated
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</Attribute>
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## Methods
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### gradient
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<Function id="qiskit.synthesis.unitary.aqc.FastCNOTUnitObjective.gradient" github="https://github.com/Qiskit/qiskit/tree/stable/1.2/qiskit/synthesis/unitary/aqc/fast_gradient/fast_gradient.py#L105-L124" signature="gradient(param_values)">
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Computes the gradient of objective function. See description of the base class method.
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**Return type**
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[*ndarray*](https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray "(in NumPy v2.1)")
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</Function>
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### objective
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<Function id="qiskit.synthesis.unitary.aqc.FastCNOTUnitObjective.objective" github="https://github.com/Qiskit/qiskit/tree/stable/1.2/qiskit/synthesis/unitary/aqc/fast_gradient/fast_gradient.py#L79-L103" signature="objective(param_values)">
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Computes the objective function and some intermediate data for the subsequent gradient computation. See description of the base class method.
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**Return type**
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[float](https://docs.python.org/3/library/functions.html#float "(in Python v3.13)")
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</Function>
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</Class>
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