Hybrid Quantum Branch-and-Bound Method for Quadratic Unconstrained Binary Optimization
| dc.contributor.author | Peng, Zedong | |
| dc.contributor.author | de Roux, Daniel | |
| dc.contributor.author | Bernal Neira, David E. | |
| dc.contributor.editor | Kais, Sabre | |
| dc.contributor.editor | Skala, Václav | |
| dc.date.accessioned | 2025-10-08T15:01:01Z | |
| dc.date.available | 2025-10-08T15:01:01Z | |
| dc.date.issued | 2025 | |
| dc.description.abstract-translated | Quantum algorithms have shown promise in solving Quadratic Unconstrained Binary Optimization (QUBO) problems, benefiting from their connection to the transverse field Ising model. Various Ising solvers, both classical and quantum, have emerged to tackle such problems efficiently but lack global optimality guarantees and oftentimes sufer from hardware limitations such as limited qubit availability. In this work, we propose a hybrid branch-and bound (B&B) framework that integrates Ising solvers as heuristics within a classical B&B algorithm. Unlike prior theoretical studies, our work presents a practical implementation, available as open-source at GitHub. We explore when and where to apply Ising solvers in the search tree, and introduce a custom branching rule optimized QUBO embedding. Our method is evaluated on hundreds of QUBO instances from QUBOLib.jl using Gurobi and the D-Wave quantum annealer. Our Results show up to 11% less solution time and 17% fewer nodes compared to default Gurobi, an off-the-shelf commercial optimization solver. These findings demonstrate the value of hybrid quantum-classical strategies for enhancing exact optimization. | en |
| dc.format | 10 s. | cs |
| dc.identifier.doi | http://www.doi.org/10.24132/CSRN.2025-A67 | |
| dc.identifier.issn | 2464-4617 | |
| dc.identifier.issn | 2464-4625 | |
| dc.identifier.uri | http://hdl.handle.net/11025/62934 | |
| dc.language.iso | en | en |
| dc.publisher | Vaclav Skala - UNION Agency | en |
| dc.rights | © Václav Skala - UNION Agency | en |
| dc.rights.access | openAccess | en |
| dc.subject | kvadratická neomezená binární optimalizace | cs |
| dc.subject | větvení a řezání | cs |
| dc.subject | kvantová optimalizace | cs |
| dc.subject.translated | Quadratic Unconstrained Binary Optimization | en |
| dc.subject.translated | branch-and-cut | en |
| dc.subject.translated | quantum optimization | en |
| dc.title | Hybrid Quantum Branch-and-Bound Method for Quadratic Unconstrained Binary Optimization | en |
| dc.type | konferenční příspěvek | cs |
| dc.type | conferenceObject | en |
| dc.type.status | Peer reviewed | en |
| dc.type.version | publishedVersion | en |
| local.files.count | 2 | * |
| local.files.size | 2706654 | * |
| local.has.files | yes | * |
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