42 lines
1.6 KiB
Plaintext
42 lines
1.6 KiB
Plaintext
---
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title: CNOTUnitObjective
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description: API reference for qiskit.transpiler.synthesis.aqc.CNOTUnitObjective
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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.transpiler.synthesis.aqc.CNOTUnitObjective
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---
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# CNOTUnitObjective
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<Class id="qiskit.transpiler.synthesis.aqc.CNOTUnitObjective" isDedicatedPage={true} github="https://github.com/qiskit/qiskit/tree/stable/0.24/qiskit/transpiler/synthesis/aqc/cnot_unit_objective.py" signature="CNOTUnitObjective(num_qubits, cnots)" modifiers="class">
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Bases: [`ApproximatingObjective`](qiskit.transpiler.synthesis.aqc.ApproximatingObjective "qiskit.transpiler.synthesis.aqc.approximate.ApproximatingObjective"), `ABC`
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A base class for a problem definition based on CNOT unit. This class may have different subclasses for objective and gradient computations.
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**Parameters**
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* **num\_qubits** (*int*) – number of qubits.
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* **cnots** ([*ndarray*](https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray "(in NumPy v1.25)")) – 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.transpiler.synthesis.aqc.CNOTUnitObjective.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.transpiler.synthesis.aqc.CNOTUnitObjective.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.transpiler.synthesis.aqc.CNOTUnitObjective.target_matrix">
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Returns: a matrix being approximated
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</Attribute>
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</Class>
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