3 papers
hep-lat2026
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…
hep-lat2025
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…
hep-lat2023
Application of the path optimization method to a discrete spin system
Kouji Kashiwa, Yusuke Namekawa, Akira Ohnishi +1
The path optimization method, which is proposed to control the sign problem in quantum field theories with continuous degrees of freedom by machine learning, is applied to a spin m…