https://github.com/Yuma-Ichikawa/QQA4CO

Quasi-Quantum Annealing (QQA): a GPU solver for combinatorial & spin-glass optimisation — PyTorch library + live Streamlit dashboard. ICLR 2025.
https://github.com/Yuma-Ichikawa/QQA4CO

combinatorial-optimization heuristics iclr2025 ising-model optimization optimization-algorithms optimization-methods quantum-annealing quasi-quantum-annealing qubo simulated-annealing spin-glass

Last synced: 22 days ago
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Quasi-Quantum Annealing (QQA): a GPU solver for combinatorial & spin-glass optimisation — PyTorch library + live Streamlit dashboard. ICLR 2025.

• Host: GitHub
• URL: https://github.com/Yuma-Ichikawa/QQA4CO
• Owner: Yuma-Ichikawa
• License: bsd-3-clause-clear
• Created: 2025-02-15T07:40:24.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2026-04-19T06:11:48.000Z (about 2 months ago)
• Last Synced: 2026-04-19T07:35:25.274Z (about 2 months ago)
• Topics: combinatorial-optimization, heuristics, iclr2025, ising-model, optimization, optimization-algorithms, optimization-methods, quantum-annealing, quasi-quantum-annealing, qubo, simulated-annealing, spin-glass
• Language: Python
• Homepage: https://yuma-ichikawa.github.io/QQA4CO/
• Size: 60.7 MB
• Stars: 7
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGELOG.md
  • Contributing: CONTRIBUTING.md
  • Code of conduct: CODE_OF_CONDUCT.md
  • Citation: CITATION.cff
  • Security: SECURITY.md

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