Author

Simon Williams

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Preprint Aug 2026

Robust Quantum Machine Learning for Collider Event Selection under Detector Variability

The results suggest that parameterised quantum models can provide a useful robustness inductive bias for collider-event selection and motivate further studies with realistic detector systematics, finite-shot statistics and quantum-device noise.

Christopher Brown, M. Spannowsky, Simon Williams · 1 citation