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kanakpandit17variational-classifier-fork

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.

forked fromqubithub/variational-classifier

RunCite
Framework
Qiskit
Qubits
2
Depth
8
Gate set
RY, RZ, CX
Licence
Apache-2.0
Version
v1
Updated
3 hours ago
Runs
None completed

Circuit

circuit.py · Qiskit · depth 8
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circuit.py · 14 KB

Code

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Lineage

forked fromqubithub/variational-classifier

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Suggested citation

@software{kanakpandit17_variationalclassifierfork_2026,
  author = {Kanak Pandit},
  title = {Variational Quantum Classifier (Fork)},
  year = {2026},
  version = {v1},
  url = {https://qubithub.co/kanakpandit17/variational-classifier-fork},
}

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