From the 1 of 7 linked papers with an AI index.
7 papers
Lattice Configuration Generation with a Self-Learning Diffusion Model
Akio Tomiya
The paper presents a diffusion‑based sampler that self‑trains without any pre‑generated training data to generate lattice‑field configurations, and validates its accuracy on the tw…
Numerical Hints for Dyon Condensation at via Wilson-'t Hooft Loops in Yang-Mills Theory
Hiromasa Watanabe, Issaku Kanamori, Okuto Morikawa +3
Yang-Mills theories at and are unitarily equivalent, but their periodicity has a nontrivial realization. Recent developments in generalized global symmetries sh…
Thermodynamics in symmetry-improved Cornwall-Jackiw-Tomboulis formalism: application to the low-energy effective theory of QCD
Yuepeng Guan, Mamiya Kawaguchi, Shinya Matsuzaki +1
We study the thermodynamics of the symmetry-improved Cornwall-Jackiw-Tomboulis (SICJT) formalism and apply it to a low-energy effective theory of QCD. In the symmetry-improved form…
Parameter Optimization of Domain-Wall Fermion using Machine Learning
Shunsuke Yasunaga, Kenta Yoshimura, Akio Tomiya +1
We study a parameter optimization of domain-wall fermions to improve chiral symmetry based on machine learning. Domain-wall fermions involve coefficients along the fifth dimension,…
Lattice Gauge Theory via LLVM-Level Automatic Differentiation
Yuki Nagai, Akio Tomiya, Hiroshi Ohno
We enable the automatic construction of Hybrid Monte Carlo (HMC) forces in lattice gauge theory by performing reverse-mode automatic differentiation at the level of optimized LLVM…
JuliaQCD: Portable lattice QCD package in Julia language
Yuki Nagai, Akio Tomiya
We develop a new lattice gauge theory code set JuliaQCD using the Julia language. Julia is well-suited for integrating machine learning techniques and enables rapid prototyping and…