ZZ quantum kernel with binary encoding reaches 66.3% accuracy on 11-feature parity tasks where binary RBF gets 54.3% and other classical methods ~50%, showing a complexity threshold for quantum advantage.
Result analysis of the NIPS 2003 feature selection challenge
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Quantum Kernels for Parity-Structured Classification: A Hybrid Pipeline
ZZ quantum kernel with binary encoding reaches 66.3% accuracy on 11-feature parity tasks where binary RBF gets 54.3% and other classical methods ~50%, showing a complexity threshold for quantum advantage.