2 papers
cs.LG2026
Comparing Classical and Quantum Machine Learning for Regression in High Energy Physics Collision Data
Tariq Mahmood, Zain ul Abidin, Itzel Luviano Soto +1
The classification and regression of particle collision events constitute a persistent computational challenge in experimental high energy physics, where large volumes of simulated…
hep-ph2026
Classical and Hybrid Quantum Machine Learning for Trigger-Like Event Selection on CMS Open Data: An Eight-Qubit, PCA-Constrained Benchmark
Tariq Mahmood, Muhammad Awais Rafique, Talab Hussain +3
Event triggering sits at the heart of high-energy physics, where the rare events of interest must be retained while an overwhelming background is discarded under tight latency and…