2 citations · 2 across the 2 of their papers we have counts for
10 papers
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…
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…
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…
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…
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…