4 papers
Path optimization method for the sign problem: Insights from random matrix models
Kouji Kashiwa, Yusuke Namekawa, Hayato Takase
The path optimization method is applied to the Stephanov model and the chiral random matrix model, both of which share several properties with QCD, to mitigate the sign problem cau…
Mixed precision solvers with half-precision floating point numbers for Lattice QCD on A64FX processor
Issaku Kanamori, Hideo Matsufuru, Tatsumi Aoyama +4
We investigate the use of half-precision floating-point numbers (FP16) in mixed-precision linear solvers for lattice QCD simulations. Since the emergence of GPUs for general-purpos…
On the validity of the complex Langevin method near the deconfining phase transition in QCD at finite density
Shoichiro Tsutsui, Yuhma Asano, Yuta Ito +5
In our previous paper [JHEP 10 (2020) 144], we found that the complex Langevin (CL) method works for QCD at finite density on the lattice in the low-temperature hi…
Path optimization method for the sign problem caused by fermion determinant
Kazuki Hisayoshi, Kouji Kashiwa, Yusuke Namekawa +1
The path optimization method with machine learning is applied to the one-dimensional massive lattice Thirring model, which has the sign problem caused by the fermion determinant. T…