222 citations · 1.1k across the 42 of their papers we have counts for
6 papers · 1 filter
Broken Symmetry and Fractionalized Flux Strings in a Staggered U(1) Pure Gauge Theory
A. Banerjee, D. Banerjee, G. Kanwar +3
Inspired by self-adjoint extensions of the electric field operator in the Hamiltonian formalism, we extend the Wilsonian framework of Abelian lattice gauge theory by introducing a…
Advances in machine-learning-based sampling motivated by lattice quantum chromodynamics
Kyle Cranmer, Gurtej Kanwar, Sébastien Racanière +2
Sampling from known probability distributions is a ubiquitous task in computational science, underlying calculations in domains from linguistics to biology and physics. Generative…
Signal-to-noise improvement through neural network contour deformations for 3D lattice gauge theory
William Detmold, Gurtej Kanwar, Yin Lin +2
Complex contour deformations of the path integral have been demonstrated to significantly improve the signal-to-noise ratio of observables in previous studies of two-dimensional ga…
Pion Transition Form Factor from Twisted-Mass Lattice QCD and the Hadronic Light-by-Light -pole Contribution to the Muon
C. Alexandrou, S. Bacchio, G. Bergner +14
The neutral pion generates the leading pole contribution to the hadronic light-by-light tensor, which is given in terms of the nonperturbative transition form factor $\mathcal{F}_{…
Normalizing flows for lattice gauge theory in arbitrary space-time dimension
Ryan Abbott, Michael S. Albergo, Aleksandar Botev +11
Applications of normalizing flows to the sampling of field configurations in lattice gauge theory have so far been explored almost exclusively in two space-time dimensions. We repo…
Mitigating Green's function Monte Carlo signal-to-noise problems using contour deformations
Gurtej Kanwar, Alessandro Lovato, Noemi Rocco +1
The Green's function Monte Carlo (GFMC) method provides accurate solutions to the nuclear many-body problem and predicts properties of light nuclei starting from realistic two- and…