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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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מידע ביבליוגרפי
Principais autores: Seongmin Kim, Sang-Woo Ahn, In-Saeng Suh, Alexander W. Dowling, Eungkyu Lee, Tengfei Luo
פורמט: Artigo
שפה:Inglês
יצא לאור: Nature Portfolio 2025-05-01
סדרה:npj Quantum Information
גישה מקוונת:https://doi.org/10.1038/s41534-025-01020-1
תגים: הוספת תג
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