Quantum annealing for combinatorial optimization: a benchmarking study

Abstract Quantum annealing (QA) has the potential to significantly improve solution quality and reduce time complexity in solving combinatorial optimization problems compared to classical optimization methods. However, due to the limited number of qubits and their connectivity, the QA hardware did n...

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Bibliographic Details
Main Authors: Seongmin Kim, Sang-Woo Ahn, In-Saeng Suh, Alexander W. Dowling, Eungkyu Lee, Tengfei Luo
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:npj Quantum Information
Online Access:https://doi.org/10.1038/s41534-025-01020-1
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