Updating algorithms with multi-step stochastic correction
I. Montvay, E. Scholz

TL;DR
This paper explores multi-step stochastic correction methods to enhance updating algorithms in lattice gauge theory simulations involving fermions, focusing on generalizing existing algorithms and their applications with hybrid Monte Carlo methods.
Contribution
It introduces generalizations of the two-step multi-boson algorithm and discusses their integration with hybrid Monte Carlo techniques for improved simulations.
Findings
Enhanced algorithms for lattice gauge theories with fermions.
Successful application of generalized methods with HMC.
Potential improvements in simulation efficiency.
Abstract
Nested multi-step stochastic correction offers a possibility to improve updating algorithms for numerical simulations of lattice gauge theories with fermions. The corresponding generalisations of the two-step multi-boson (TSMB) algorithm as well as some applications with hybrid Monte Carlo (HMC) algorithms are considered.
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.
