2 papers
hep-ph2026
Machine Learning for Multi-messenger Probes of New Physics and Cosmology: A Review and Perspective
Andrea Addazi, Konstantin Belotsky, Vitaly Beylin +18
The multi-messenger exploration of dark matter and physics beyond the Standard Model has emerged as a central direction in modern astro-particle physics, particularly following the…
quant-ph2024
Deep Neural Networks as the Semi-classical Limit of Topological Quantum Neural Networks: The problem of generalisation
Antonino Marciano, Emanuele Zappala, Tommaso Torda +5
Deep Neural Networks miss a principled model of their operation. A novel framework for supervised learning based on Topological Quantum Field Theory that looks particularly well su…