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A Quantum-Classical Hybrid Branch & Bound Algorithm

Andr\'as Cz\'egel, D\'avid Sipos, Bogl\'arka G. -T\'oth
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⚡ Quantum Brief
Researchers András Czégel, Dávid Sipos, and Boglárka G.-Tóth introduced a quantum-classical hybrid branch-and-bound (QCBB) algorithm to solve binary linear programs with equality constraints, offering provable optimality guarantees. The algorithm integrates quantum optimization within a classical branch-and-bound framework, using noisy quantum samples to reduce problem complexity while maintaining classical bounds for solution validation. Key innovations include gap-based stopping criteria, monotonic solution quality improvement, and classical approximation techniques to calculate bounds, ensuring comparability with purely classical methods. Numerical tests on set partitioning problems demonstrate its practicality, with detailed analysis of each algorithmic step, including quantum noise utilization and hybrid solution composition. This work bridges quantum and classical optimization, providing a complete, verifiable method that could accelerate real-world applications in combinatorial optimization.
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Quantum Physics arXiv:2511.19501 (quant-ph) [Submitted on 23 Nov 2025] Title:A Quantum-Classical Hybrid Branch & Bound Algorithm Authors:András Czégel, Dávid Sipos, Boglárka G.-Tóth View a PDF of the paper titled A Quantum-Classical Hybrid Branch & Bound Algorithm, by Andr\'as Cz\'egel and 2 other authors View PDF HTML (experimental) Abstract:We propose a complete quantum-classical hybrid branch-and-bound algorithm (QCBB) to solve binary linear programs with equality constraints. That includes bound calculation, convergence metrics and optimality guarantee to the quantum optimization based algorithm, which makes our method directly comparable to classical methods. Key aspects of the proposed algorithm are (i) encapsulation of the quantum optimization method, (ii) utilization of noisy samples for problem reduction, (iii) classical approximation based bound calculation, (iv) branch and bound traits like gap-based stopping criterion and monotonic increase in solution quality, (v) integrated composition of many different solutions that can be improved individually. We show numerical results on set partitioning problem instances and provide many details about the characteristics of the different steps of the algorithm. Subjects: Quantum Physics (quant-ph) Cite as: arXiv:2511.19501 [quant-ph] (or arXiv:2511.19501v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2511.19501 Focus to learn more arXiv-issued DOI via DataCite Submission history From: András Czégel [view email] [v1] Sun, 23 Nov 2025 17:44:03 UTC (971 KB) Full-text links: Access Paper: View a PDF of the paper titled A Quantum-Classical Hybrid Branch & Bound Algorithm, by Andr\'as Cz\'egel and 2 other authorsView PDFHTML (experimental)TeX Source view license Current browse context: quant-ph new | recent | 2025-11 References & Citations INSPIRE HEP NASA ADSGoogle Scholar Semantic Scholar export BibTeX citation Loading... BibTeX formatted citation × loading... Data provided by: Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer (What is the Explorer?) Connected Papers Toggle Connected Papers (What is Connected Papers?) Litmaps Toggle Litmaps (What is Litmaps?) scite.ai Toggle scite Smart Citations (What are Smart Citations?) Code, Data, Media Code, Data and Media Associated with this Article alphaXiv Toggle alphaXiv (What is alphaXiv?) Links to Code Toggle CatalyzeX Code Finder for Papers (What is CatalyzeX?) DagsHub Toggle DagsHub (What is DagsHub?) GotitPub Toggle Gotit.pub (What is GotitPub?) Huggingface Toggle Hugging Face (What is Huggingface?) Links to Code Toggle Papers with Code (What is Papers with Code?) ScienceCast Toggle ScienceCast (What is ScienceCast?) Demos Demos Replicate Toggle Replicate (What is Replicate?) Spaces Toggle Hugging Face Spaces (What is Spaces?) Spaces Toggle TXYZ.AI (What is TXYZ.AI?) Related Papers Recommenders and Search Tools Link to Influence Flower Influence Flower (What are Influence Flowers?) Core recommender toggle CORE Recommender (What is CORE?) Author Venue Institution Topic About arXivLabs arXivLabs: experimental projects with community collaborators arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs. Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)

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