From the 1 of 2 linked papers with an AI index.
2 papers
quant-ph2026
Optimization-based Unfolding in High-Energy Physics
Simone Gasperini, Gianluca Bianco, Marco Lorusso +2
The paper introduces an optimization-based framework for unfolding detector data in high-energy physics, including a QUBO formulation that enables quantum annealing and hybrid solv…
hep-ex2026
Precision calibration of calorimeter signals in the ATLAS experiment using an uncertainty-aware neural network
ATLAS Collaboration
The ATLAS experiment at the Large Hadron Collider explores the use of modern neural networks for a multi-dimensional calibration of its calorimeter signal defined by clusters of to…