Classifying and Benchmarking Quantum Annealing Algorithms Based on Quadratic Unconstrained Binary Optimization for Solving NP-Hard Problems

Quantum annealing has the potential to outperform classical transistor-based computer technologies in tackling intricate combinatorial optimization problems. However, ongoing scientific debates cast doubts on whether quantum annealing devices (or quantum annealers) can genuinely provide better probl...

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Veröffentlicht in:	IEEE access Jg. 11; S. 104165 - 104178
Hauptverfasser:	Jiang, Jehn-Ruey, Chu, Chun-Wei
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Annealing Benchmark testing Benchmarks Classification Combinatorial analysis Graph coloring Job shop scheduling Linear programming Noisy intermediate-scale quantum NP-hard problem Optimization Problem solving Quadratic programming quadratic unconstrained binary optimization Quantum annealing quantum computer Quantum computing Questions
ISSN:	2169-3536, 2169-3536
Online-Zugang:	Volltext
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