45 citations · 86 across the 17 of their papers we have counts for
6 papers · 1 filter
Computing quantum entanglement with machine learning
Andrea Bulgarelli, Elia Cellini, Karl Jansen +5
Entanglement calculations in quantum field theories are extremely challenging and typically rely on the replica trick, where the problem is rephrased in a study of defects. We demo…
Scaling flow-based approaches for topology sampling in gauge theory
Claudio Bonanno, Andrea Bulgarelli, Elia Cellini +4
We develop a methodology based on out-of-equilibrium simulations to mitigate topological freezing when approaching the continuum limit of lattice gauge theories. We reduce the auto…
Studying Effective String Theory using deep generative models
Michele Caselle, Elia Cellini, Alessandro Nada
Effective String Theory (EST) offers a robust non-perturbative framework for describing confinement in Yang-Mills theory by treating the confining flux tube between a static quark-…
Multilevel Generative Samplers for Investigating Critical Phenomena
Ankur Singha, Elia Cellini, Kim A. Nicoli +3
Investigating critical phenomena or phase transitions is of high interest in physics and chemistry, for which Monte Carlo (MC) simulations, a crucial tool for numerically analyzing…
Stochastic normalizing flows for Effective String Theory
Michele Caselle, Elia Cellini, Alessandro Nada
Effective String Theory (EST) is a powerful tool used to study confinement in pure gauge theories by modeling the confining flux tube connecting a static quark-anti-quark pair as a…
Intrinsic width of the flux tube in 2+1 dimensional Yang-Mills therories
Michele Caselle, Elia Cellini, Alessandro Nada +2
We study the shape of the flux tube in lattice Yang-Mills theories and in particular its intrinsic width. In the framework of the Effective String Theory description of the confini…