Cited by 32Quantum Computing Algorithms and ArchitectureMetaheuristic Optimization Algorithms ResearchQuantum many-body systems

Hybrid quantum annealing via molecular dynamics

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Irie, Hirotaka, Liang, Haozhao, Doi, Takumi, Gongyo, Shinya, Hatsuda, Tetsuo·2021·Scientific Reports

Abstract

A novel quantum–classical hybrid scheme is proposed to efficiently solve large-scale combinatorial optimization problems. The key concept is to introduce a Hamiltonian dynamics of the classical flux variables associated with the quantum spins of the transverse-field Ising model. Molecular dynamics of the classical fluxes can be used as a powerful preconditioner to sort out the frozen and ambivalent spins for quantum annealers. The performance and accuracy of our smooth hybridization in comparison to the standard classical algorithms (the tabu search and the simulated annealing) are demonstrated by employing the MAX-CUT and Ising spin-glass problems.

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References 22 · Cited by 32

Research works printed but not linked: 7

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Authors
Irie, H., Liang, H., Doi, T., Gongyo, S., & Hatsuda, T.
Affiliations
  • Denso (Japan) (JP)
  • RIKEN Nishina Center (JP)
  • RIKEN Center for Interdisciplinary Theoretical and Mathematical Sciences (JP)
Corresponding author
Irie, Hirotaka
Venue
Scientific Reports
Published
2021-04-19
Volume
11
Issue
1
Pages
8426-8426
ISSN
2045-2322 (ISSN-L)
OpenAlex
W3016234529
Cited by
32
References
22
Citations by year
2026: 2 · 2025: 7 · 2024: 8 · 2023: 6 · 2022: 7 · 2021: 1 · 2020: 1
FWCI
1.94
Type
journal article
Language
en
Open access
Locations
  • Scientific Reports (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • arXiv (Cornell University) (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • arXiv (Cornell University)
Funders
  • Ministry of Education, Culture, Sports, Science and Technology
  • Japan Society for the Promotion of Science (19K22032)
  • Japan Science and Technology Agency (CREST JPMJCR1913)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Quantum Computing Algorithms and Architecture
  • Physical Sciences › Computer Science › Artificial Intelligence › Metaheuristic Optimization Algorithms Research
  • Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Quantum many-body systems
Keywords
hybrid quantum-classical algorithms, combinatorial optimization, transverse-field Ising model, molecular dynamics, preconditioning, MaxCut, Ising spin glass, quantum annealers

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