Amanote Research

Amanote Research

    RegisterSign In

Path Optimization for the Sign Problem in Field Theories Using Neural Network

doi 10.7566/jpscp.26.024011
Full Text
Open PDF
Abstract

Available in full text

Date

November 7, 2019

Authors
Akira OhnishiYuto MoriKouji Kashiwa
Publisher

Journal of the Physical Society of Japan


Related search

A Simple Approach Towards the Sign Problem Using Path Optimisation

Journal of High Energy Physics
High Energy PhysicsNuclear
2018English

Motion Path Design for Specific Muscle Training Using Neural Network

Journal of Robotics
ControlSystems EngineeringComputer Science
2013English

Sensor Optimization Using Neural Network Sensitivity Measures

Measurement Science and Technology
InstrumentationEngineeringApplied Mathematics
1995English

Global Optimization for Neural Network Training

Computer
Computer Science
1996English

The Minimum Cost Path Finding Algorithm Using a Hopfield Type Neural Network

English

Convolutional Neural Network in the Images Colorization Problem

CEUR Workshop Proceedings
Computer Science
2019English

Light-Field Image Super-Resolution Using Convolutional Neural Network

DEStech Transactions on Computer Science and Engineering
2017English

Elementary Landscape Decomposition of the Hamiltonian Path Optimization Problem,

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2014English

Application of the Path Optimization Method to the Sign Problem in an Effective Model of QCD With a Repulsive Vector-Type Interaction

Physical Review D
AstronomyPhysics
2019English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy