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

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 crit...

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Hauptverfasser: Abbott, Ryan (VerfasserIn) , Albergo, Michael S. (VerfasserIn) , Boyda, Denis (VerfasserIn) , Cranmer, Kyle (VerfasserIn) , Hackett, Daniel C. (VerfasserIn) , Kanwar, Gurtej (VerfasserIn) , Racanière, Sébastien (VerfasserIn) , Rezende, Danilo J. (VerfasserIn) , Romero-López, Fernando (VerfasserIn) , Shanahan, Phiala E. (VerfasserIn) , Tian, Betsy (VerfasserIn) , Urban, Julian M. (VerfasserIn)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: 18 October 2022
In: Physical review
Year: 2022, Jahrgang: 106, Heft: 7, Pages: 1-15
ISSN:2470-0029
DOI:10.1103/PhysRevD.106.074506
Online-Zugang:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1103/PhysRevD.106.074506
Verlag, lizenzpflichtig, Volltext: https://link.aps.org/doi/10.1103/PhysRevD.106.074506
Volltext
Verfasserangaben: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

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