12 citations · 27 across the 12 of their papers we have counts for
5 papers · 1 filter
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…
Duality and entanglement in lattice gauge theories
Andrea Bulgarelli, Marco Panero
The study of entanglement in quantum field theories provides insight into universal properties which are typically challenging to extract by means of local observables. However, ca…
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…
Flow-Based Sampling for Entanglement Entropy and the Machine Learning of Defects
Andrea Bulgarelli, Elia Cellini, Karl Jansen +5
We introduce a novel technique to numerically calculate Rényi entanglement entropies in lattice quantum field theory using generative models. We describe how flow-based approaches…
Duality transformations and the entanglement entropy of gauge theories
Andrea Bulgarelli, Marco Panero
The study of entanglement in gauge theories is expected to provide insights into many fundamental phenomena, including confinement. However, calculations of quantities related to e…