12 citations · 27 across the 12 of their papers we have counts for
13 papers
Ergodic topology sampling toward the continuum with Stochastic Normalizing Flows
Claudio Bonanno, Andrea Bulgarelli, Elia Cellini +4
In this work we provide numerical evidence that topological freezing in Yang-Mills theory can be mitigated with a flow-based approach, as tested at lattice spacing…
Toward Hamiltonian simulations of Maxwell-Chern-Simons theory: constant modes and gauge field truncation
Andrea Bulgarelli, Maria Cristina Diamantini, Nico Dichter +6
Maxwell-Chern-Simons (MCS) theory in dimensions provides a paradigmatic example of a topological gauge theory with both dynamical and topological degrees of freedom. Its Eucl…
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…
Toward Scalable Normalizing Flows for the Hubbard Model
Janik Kreit, Andrea Bulgarelli, Lena Funcke +4
Normalizing flows have recently demonstrated the ability to learn the Boltzmann distribution of the Hubbard model, opening new avenues for generative modeling in condensed matter p…
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…
Casimir effect in critical models from non-equilibrium Monte Carlo simulations
Andrea Bulgarelli, Michele Caselle, Alessandro Nada +1
vector models in three dimensions, when defined in a geometry with a compact direction and tuned to criticality, exhibit long-range fluctuations which induce a Casi…
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…
Entanglement entropy from non-equilibrium lattice simulations
Andrea Bulgarelli, Marco Panero
Entanglement entropy encodes important features of strongly interacting quantum many-body systems and gauge theories, but its analytical study is still limited to systems with high…