6 citations · 8 across the 5 of their papers we have counts for
5 papers · 1 filter
A scalable flow-based approach to mitigate topological freezing
Claudio Bonanno, Andrea Bulgarelli, Elia Cellini +4
As lattice gauge theories with non-trivial topological features are driven towards the continuum limit, standard Markov Chain Monte Carlo simulations suffer for topological freezin…
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…
Scaling of Stochastic Normalizing Flows in lattice gauge theory
Andrea Bulgarelli, Elia Cellini, Alessandro Nada
Non-equilibrium Markov Chain Monte Carlo (NE-MCMC) simulations provide a well-understood framework based on Jarzynski's equality to sample from a target probability distribution. B…
Topological susceptibility of pure-gauge theory from out-of-equilibrium simulations
Claudio Bonanno, Alessandro Nada, Davide Vadacchino
In \textit{JHEP} \textbf{04} (2024) 126 [arXiv:2402.06561] we recently proposed an out-of-equilibrium setup to reduce the large auto-correlations of the topological charge in two-d…
Sampling SU(3) pure gauge theory with Stochastic Normalizing Flows
Andrea Bulgarelli, Elia Cellini, Alessandro Nada
Non-equilibrium Monte Carlo simulations based on Jarzynski's equality are a well-understood method to compute differences in free energy and also to sample from a target probabilit…