Flow-based sampling in the lattice Schwinger model at criticality

Recent results suggest that flow-based algorithms may provide efficient sampling of field distributions for lattice field theory applications, such as studies of quantum chromodynamics and the Schwinger model. In this work, we provide a numerical demonstration of robust flow-based sampling in the Sc...

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Bibliographic Details
Published in:arXiv.org 2022-02
Main Authors: Albergo, Michael S, Boyda, Denis, Cranmer, Kyle, Hackett, Daniel C, Kanwar, Gurtej, Racanière, Sébastien, Rezende, Danilo J, Romero-López, Fernando, Shanahan, Phiala E, Urban, Julian M
Format: Article
Language:English
Subjects:
Algorithms
Fermions
Field theory
Quantum chromodynamics
Robustness (mathematics)
Sampling
Online Access:Get full text
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Summary:Recent results suggest that flow-based algorithms may provide efficient sampling of field distributions for lattice field theory applications, such as studies of quantum chromodynamics and the Schwinger model. In this work, we provide a numerical demonstration of robust flow-based sampling in the Schwinger model at the critical value of the fermion mass. In contrast, at the same parameters, conventional methods fail to sample all parts of configuration space, leading to severely underestimated uncertainties.
ISSN:2331-8422
DOI:10.48550/arxiv.2202.11712