Machine Learning on Heterogeneous, Edge, and Quantum Hardware for Particle Physics (ML-HEQUPP)
This white paper presents a community-driven vision to prioritize research and development in hardware-based machine learning systems—leveraging emerging technologies like AI, silicon microelectronics, and quantum processing—to address the unprecedented data challenges and enable real-time scientific discovery in the next generation of particle physics experiments.