Preprint
Aug 2026
Evaluating Quantum Kernel Methods for Track-Based Classification in High-Energy Physics
These results demonstrate a scalable, reproducible workflow for quantum kernel experimentation at HEP-relevant scale, quantifying the practical cost of realistic hardware noise on quantum-enhanced classification.
Emmanuel Billias, Nikos Chrisochoides
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