no code implementations • 18 Oct 2024 • Andrea Bulgarelli, Elia Cellini, Karl Jansen, Stefan Kühn, Alessandro Nada, Shinichi Nakajima, Kim A. Nicoli, Marco Panero
We introduce a novel technique to numerically calculate R\'enyi entanglement entropies in lattice quantum field theory using generative models.
no code implementations • 21 Jan 2022 • Michele Caselle, Elia Cellini, Alessandro Nada, Marco Panero
Normalizing flows are a class of deep generative models that provide a promising route to sample lattice field theories more efficiently than conventional Monte Carlo simulations.
no code implementations • 22 Dec 2020 • Marco Panero, Antonio Smecca
We present a high-precision Monte Carlo study of the classical Heisenberg model in four dimensions, showing that in the broken-symmetry phase it supports topological, monopole-like excitations, whose properties confirm previous analytical predictions derived in quantum field theory.
Statistical Mechanics High Energy Physics - Lattice High Energy Physics - Theory Quantum Physics
