43 lines
2.0 KiB
Plaintext
43 lines
2.0 KiB
Plaintext
---
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title: quantum_volume (latest version)
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description: API reference for qiskit.circuit.library.quantum_volume 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.circuit.library.quantum_volume
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---
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<span id="quantum-volume" />
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# quantum\_volume
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<Class id="qiskit.circuit.library.quantum_volume" isDedicatedPage={true} github="https://github.com/Qiskit/qiskit/tree/stable/1.3/qiskit/circuit/library/quantum_volume.py#L133-L170" signature="qiskit.circuit.library.quantum_volume(num_qubits, depth=None, seed=None)" modifiers="class">
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Bases:
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A quantum volume model circuit.
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The model circuits are random instances of circuits used to measure the Quantum Volume metric, as introduced in \[1].
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The model circuits consist of layers of Haar random elements of SU(4) applied between corresponding pairs of qubits in a random bipartition.
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This function is multithreaded and will launch a thread pool with threads equal to the number of CPUs by default. You can tune the number of threads with the `RAYON_NUM_THREADS` environment variable. For example, setting `RAYON_NUM_THREADS=4` would limit the thread pool to 4 threads.
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**Reference Circuit:**
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**References:**
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\[1] A. Cross et al. Validating quantum computers using randomized model circuits, Phys. Rev. A 100, 032328 (2019). [arXiv:1811.12926](https://arxiv.org/abs/1811.12926)
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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)")) –
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* **depth** ([*int*](https://docs.python.org/3/library/functions.html#int "(in Python v3.13)") *| None*) –
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* **seed** ([*int*](https://docs.python.org/3/library/functions.html#int "(in Python v3.13)") *| np.random.Generator | None*) –
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**Return type**
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[QuantumCircuit](qiskit.circuit.QuantumCircuit "qiskit.circuit.QuantumCircuit")
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</Class>
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