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Bibliographic Details
Main Authors: Czégel, András, Sipos, Dávid, -Tóth, Boglárka G.
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2511.19501
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author Czégel, András
Sipos, Dávid
-Tóth, Boglárka G.
author_facet Czégel, András
Sipos, Dávid
-Tóth, Boglárka G.
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2511_19501
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle A quantum-classical hybrid branch & bound algorithm
Czégel, András
Sipos, Dávid
-Tóth, Boglárka G.
Quantum Physics
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.
title A quantum-classical hybrid branch & bound algorithm
topic Quantum Physics
url https://arxiv.org/abs/2511.19501