12 citations · 19 across the 9 of their papers we have counts for
6 papers · 1 filter
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…
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…
Approaches to the Inverse Problem
Luigi Del Debbio, Alessandro Lupo, Marco Panero +1
The analytical continuation of correlation functions from imaginary to real time is a crucial step in lattice gauge theories, and it challenges our ability to derive non-perturbati…
Bayesian solution to the inverse problem and its relation to Backus-Gilbert methods
Luigi Del Debbio, Alessandro Lupo, Marco Panero +1
The problem of obtaining spectral densities from lattice data has been receiving great attention due to its importance in our understanding of scattering processes in Quantum Field…
Bayesian interpretation of Backus-Gilbert methods
Luigi Del Debbio, Alessandro Lupo, Marco Panero +1
The extraction of spectral densities from Euclidean correlators evaluated on the lattice is an important problem, as these quantities encode physical information on scattering ampl…
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…