Robust Quantum Machine Learning for Collider Event Selection under Detector Variability

arXiv:2608.11330v1 Announce Type: new Abstract: Robust machine-learning methods are becoming increasingly important for high-energy physics data analysis as experiments enter the era of higher luminosity and future higher-energy colliders. Detector degradation, changing running conditions and calib