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Physical Review D

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Control variates for lattice field theory

Tanmoy Bhattacharya1,*, Scott Lawrence2,†, and Jun-Sik Yoo1,‡

  • 1Group T-2, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
  • 2Department of Physics, University of Colorado, Boulder, Colorado 80309, USA

  • *tanmoy@lanl.gov
  • †scott.lawrence-1@colorado.edu
  • ‡junsik@lanl.gov

Efficient learning of lattice gauge theories with fermions

Shreya Shukla, Yukari Yamauchi, Andrey Y. Lokhov, Scott Lawrence, and Abhijith Jayakumar

Phys. Rev. D 114 014514 (2026)

Training neural control variates using correlated configurations

Hyunwoo Oh

Phys. Rev. D 112 074501 (2025)

Kolmogorov-Arnold wavefunctions

Paulo F. Bedaque, Jacob Cigliano, Hersh Kumar, Srijit Paul, and Suryansh Rajawat

Phys. Rev. C 112 054002 (2025)

Machine Learning for Lattice QCD

Akio Tomiya

J. Phys. Soc. Jpn. 94 031006 (2025)

Leveraging neural control variates for enhanced precision in lattice field theory

Paulo F. Bedaque and Hyunwoo Oh

Phys. Rev. D 109 094519 (2024)

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