QubitHub

qubithubvariational-classifier

A parameterized quantum circuit for binary classification — the quantum analogue of a neural network layer. Encodes 2 features into qubit rotations, processes through 2 trainable RY-CX-RZ layers (8 parameters), and measures qubit 0 for class prediction. Achieves >66% accuracy on a 6-sample linearly separable dataset after training.

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Framework
Qiskit
Qubits
2
Depth
12
Gate set
RY, RZ, CX
Licence
Not specified
Version
v1
Updated
3 days ago
Last run
3 months ago

Circuit

circuit.py · Qiskit · depth 12
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README.md · 6.7 KB

Code

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Suggested citation

@software{qubithub_variationalclassifier_2026,
  author = {QubitHub Circuits},
  title = {Variational Quantum Classifier},
  year = {2026},
  version = {v1},
  url = {https://qubithub.co/qubithub/variational-classifier},
}

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