11 citations · 23 across the 5 of their papers we have counts for
5 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…
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…
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…
Improving efficiency of the path optimization method for a gauge theory
Yusuke Namekawa, Kouji Kashiwa, Hidefumi Matsuda +2
We investigate efficiency of a gauge-covariant neural network and an approximation of the Jacobian in optimizing the complexified integration path toward evading the sign problem i…
Gauge invariant input to neural network for path optimization method
Yusuke Namekawa, Kouji Kashiwa, Akira Ohnishi +1
We investigate the efficiency of a gauge invariant input to a neural network for the path optimization method. While the path optimization with a completely gauge-fixed link-variab…