82 citations · 285 across the 12 of their papers we have counts for
12 papers
Path optimization for gauge theory with complexified parameters
Kouji Kashiwa, Yuto Mori
In this article, we apply the path optimization method to handle the complexified parameters in the 1+1 dimensional pure gauge theory on the lattice. Complexified parameters…
Spin-projection for quantum computation: A low-depth approach to strong correlation
Takashi Tsuchimochi, Yuto Mori, Seiichiro L. Ten-no
Although spin is a core property in fermionic systems, its symmetry can be easily violated in a variational simulation, especially when strong correlation plays a vital role therei…
The path optimization for the sign problem of low dimensional QCD
Yuto Mori, Kouji Kashiwa, Akira Ohnishi
The path optimization has been proposed to weaken the sign problem which appears in some field theories such as finite density QCD. In this method, we optimize the integration path…
Evading the model sign problem in the PNJL model with repulsive vector-type interaction via path optimization
Akira Ohnishi, Yuto Mori, Kouji Kashiwa
We discuss the sign problem in the Polyakov loop extended Nambu--Jona-Lasinio model with repulsive vector-type interaction by using the path optimization method. In this model, bot…
Path optimization in 0+1 dimensional QCD at finite density
Yuto Mori, Kouji Kashiwa, Akira Ohnishi
We investigate the sign problem in 0+1 dimensional QCD at finite chemical potential by using the path optimization method. The SU(3) link variable is complexified to the SL(3,$\mat…
Application of the path optimization method to the sign problem in an effective model of QCD with a repulsive vector-type interaction
Kouji Kashiwa, Yuto Mori, Akira Ohnishi
The path optimization method is applied to a QCD effective model with the Polyakov loop and the repulsive vector-type interaction at finite temperature and density to circumvent th…
Path optimization method with use of neural network for the sign problem in field theories
Akira Ohnishi, Yuto Mori, Kouji Kashiwa
We investigate the sign problem in field theories by using the path optimization method with use of the neural network. For theories with the sign problem, integral in the complexi…
Control the model sign problem via path optimization method: Monte-Carlo approach to QCD effective model with Polyakov loop
Kouji Kashiwa, Yuto Mori, Akira Ohnishi
We apply the path optimization method to a QCD effective model with the Polyakov loop at finite density to circumvent the model sign problem. The Polyakov-loop extended Nambu--Jona…
Path optimization method for the sign problem
Akira Ohnishi, Yuto Mori, Kouji Kashiwa
We propose a path optimization method (POM) to evade the sign problem in the Monte-Carlo calculations for complex actions. Among many approaches to the sign problem, the Lefschetz-…
Application of neural network to sign problem via path optimization method
Yuto Mori, Kouji Kashiwa, Akira Ohnishi
We introduce the feedforward neural network to attack the sign problem via the path optimization method. The variables of integration is complexified and the integration path is op…
Lefschetz thimbles in fermionic effective models with repulsive vector-field
Yuto Mori, Kouji Kashiwa, Akira Ohnishi
We discuss two problems in complexified auxiliary fields in fermionic effective models, the auxiliary sign problem associated with the repulsive vector-field and the choice of the…
Toward solving the sign problem with path optimization method
Yuto Mori, Kouji Kashiwa, Akira Ohnishi
We propose a new approach to circumvent the sign problem in which the integration path is optimized to control the sign problem. We give a trial function specifying the integration…