Dynamical-parameter algorithm for U(1) gauge theory
W. Kerler, C. Rebbi, A. Weber

TL;DR
This paper introduces a novel Monte Carlo algorithm designed to improve phase transition sampling in 4D compact U(1) lattice gauge theory, addressing previous simulation challenges.
Contribution
The paper proposes a new dynamical-parameter algorithm that enhances transition sampling in U(1) gauge theory simulations.
Findings
Successfully overcomes phase transition suppression
Enables more efficient Monte Carlo sampling
Improves simulation accuracy in gauge theories
Abstract
We present an algorithm for Monte Carlo simulations which is able to overcome the suppression of transitions between the phases in compact U(1) lattice gauge theory in 4 dimensions.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
