Non-zero Coefficients Removing Method to Improve the Ising Machine Solving Performance

Kinya Iwata, Masashi Tawada, Nozomu Togawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The performance of an Ising machine in solving combinatorial optimization problems is significantly influenced by the energy landscape of an input quadratic unconstrained binary optimization (QUBO). Previous studies have shown that the number of non-zero terms in QUBO can control the energy landscape. In this paper, we propose a QUBO conversion method, which efficiently removes non-zero coefficient terms in QUBO to improve the solving performance of Ising machines. Our pro-posed method uses the removal ratio parameter, which defines the amount of removed non-zero terms, and efficiently removes the non-zero coefficient terms in QUBO. We confirm the effectiveness of the proposed method compared to the conventional method using the capacitated vehicle routing problem (CVRP) on an Ising machine. Experimental results demonstrate that our proposed method improves the path length in CVRP up to 17% compared to the conventional method.

Original languageEnglish
Title of host publicationWorkshops Program, Posters Program, Panels Program and Tutorials Program
EditorsCandace Culhane, Greg T. Byrd, Hausi Muller, Yuri Alexeev, Yuri Alexeev, Sarah Sheldon
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages428-429
Number of pages2
ISBN (Electronic)9798331541378
DOIs
Publication statusPublished - 2024
Event5th IEEE International Conference on Quantum Computing and Engineering, QCE 2024 - Montreal, Canada
Duration: 2024 Sept 152024 Sept 20

Publication series

NameProceedings - IEEE Quantum Week 2024, QCE 2024
Volume2

Conference

Conference5th IEEE International Conference on Quantum Computing and Engineering, QCE 2024
Country/TerritoryCanada
CityMontreal
Period24/9/1524/9/20

Keywords

  • Annealing
  • CVRP
  • Ising machine
  • QUBO

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Networks and Communications
  • Hardware and Architecture
  • Signal Processing
  • Electrical and Electronic Engineering
  • Safety, Risk, Reliability and Quality
  • Computational Mathematics
  • Statistical and Nonlinear Physics

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