• Open Access

Gauge-equivariant flow models for sampling in lattice field theories with pseudofermions

Ryan Abbott, Michael S. Albergo, Denis Boyda, Kyle Cranmer, Daniel C. Hackett, Gurtej Kanwar, Sébastien Racanière, Danilo J. Rezende, Fernando Romero-López, Phiala E. Shanahan, Betsy Tian, and Julian M. Urban
Phys. Rev. D 106, 074506 – Published 18 October 2022

Abstract

This work presents gauge-equivariant architectures for flow-based sampling in fermionic lattice field theories using pseudofermions as stochastic estimators for the fermionic determinant. This is the default approach in state-of-the-art lattice field theory calculations, making this development critical to the practical application of flow models to theories such as QCD. Methods by which flow-based sampling approaches can be improved via standard techniques such as even/odd preconditioning and the Hasenbusch factorization are also outlined. Numerical demonstrations in two-dimensional U(1) and SU(3) gauge theories with Nf=2 flavors of fermions are provided.

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  • Received 28 July 2022
  • Accepted 30 September 2022

DOI:https://doi.org/10.1103/PhysRevD.106.074506

Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article’s title, journal citation, and DOI. Funded by SCOAP3.

Published by the American Physical Society

Physics Subject Headings (PhySH)

  1. Research Areas
Particles & Fields

Authors & Affiliations

Ryan Abbott1,2, Michael S. Albergo3, Denis Boyda4,1,2, Kyle Cranmer3, Daniel C. Hackett1,2, Gurtej Kanwar5,1,2, Sébastien Racanière6, Danilo J. Rezende6, Fernando Romero-López1,2, Phiala E. Shanahan1,2, Betsy Tian1, and Julian M. Urban7

  • 1Center for Theoretical Physics, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
  • 2The NSF AI Institute for Artificial Intelligence and Fundamental Interactions
  • 3Center for Cosmology and Particle Physics, New York University, New York, New York 10003, USA
  • 4Argonne Leadership Computing Facility, Argonne National Laboratory, Lemont, Illinois 60439, USA
  • 5Albert Einstein Center, Institute for Theoretical Physics, University of Bern, 3012 Bern, Switzerland
  • 6DeepMind, London, United Kingdom
  • 7Institut für Theoretische Physik, Universität Heidelberg, Philosophenweg 16, 69120 Heidelberg, Germany

Article Text

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Issue

Vol. 106, Iss. 7 — 1 October 2022

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