Physics-Driven Learning for Inverse Problems in Quantum Chromodynamics

Gert Aarts, Kenji Fukushima, Tetsuo Hatsuda +4

The integration of deep learning techniques and physics-driven designs is reforming the way we address inverse problems, in which accurate physical properties are extracted from co…