ArticleScientific reports2022
Benchmark of quantum-inspired heuristic solvers for quadratic unconstrained binary optimization.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Quantum annealing for inverse kinematics in robotics.Scientific reports · 2025Article
- An unsupervised tool for biomarker discovery and cancer subtyping applied to glioblastoma.BioData mining · 2025Article
- Quantum annealing-based route optimization for commercial AGV operating systems in large-scale logistics warehouses.Scientific reports · 2025Article
- Quantum Computing for Transport Network Optimization.Entropy (Basel, Switzerland) · 2025Article
- Mini-scale traffic flow optimization: an iterative QUBOs approach converting from hybrid solver to pure quantum processing unit.Scientific reports · 2025Article
- Quantum annealing enhanced Markov-Chain Monte Carlo.Scientific reports · 2025Article
- An optimization case study for solving a transport robot scheduling problem on quantum-hybrid and quantum-inspired hardware.Scientific reports · 2023Article
- On good encodings for quantum annealer and digital optimization solvers.Scientific reports · 2023Article
- Travel time optimization on multi-AGV routing by reverse annealing.Scientific reports · 2022Article
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Authors and funding
2 authors.
Funding
Abstract
Recently, inspired by quantum annealing, many solvers specialized for unconstrained binary quadratic programming problems have been developed. For further improvement and application of these solvers, it is important to clarify the differences in their performance for various types of problems. In this study, the performance of four quadratic unconstrained binary optimization problem solvers, namely D-Wave Hybrid Solver Service (HSS), Toshiba Simulated Bifurcation Machine (SBM), Fujitsu Digital Annealer (DA), and simulated annealing on a personal computer, was benchmarked. The problems used for benchmarking were instances of real problems in MQLib, instances of the SAT-UNSAT phase transition point of random not-all-equal 3-SAT (NAE 3-SAT), and the Ising spin glass Sherrington-Kirkpatrick (SK) model. Concerning MQLib instances, the HSS performance ranked first; for NAE 3-SAT, DA performance ranked first; and regarding the SK model, SBM performance ranked first. These results may help understand the strengths and weaknesses of these solvers.
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