These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
152 related articles for article (PubMed ID: 34723197)
1. Qualifying quantum approaches for hard industrial optimization problems. A case study in the field of smart-charging of electric vehicles. Dalyac C; Henriet L; Jeandel E; Lechner W; Perdrix S; Porcheron M; Veshchezerova M EPJ Quantum Technol; 2021; 8(1):12. PubMed ID: 34723197 [TBL] [Abstract][Full Text] [Related]
2. Systematic study on the dependence of the warm-start quantum approximate optimization algorithm on approximate solutions. Okada KN; Nishi H; Kosugi T; Matsushita YI Sci Rep; 2024 Jan; 14(1):1167. PubMed ID: 38216611 [TBL] [Abstract][Full Text] [Related]
8. Quantum approximate optimization of the long-range Ising model with a trapped-ion quantum simulator. Pagano G; Bapat A; Becker P; Collins KS; De A; Hess PW; Kaplan HB; Kyprianidis A; Tan WL; Baldwin C; Brady LT; Deshpande A; Liu F; Jordan S; Gorshkov AV; Monroe C Proc Natl Acad Sci U S A; 2020 Oct; 117(41):25396-25401. PubMed ID: 33024018 [TBL] [Abstract][Full Text] [Related]
10. Comparison between a quantum annealer and a classical approximation algorithm for computing the ground state of an Ising spin glass. Yaacoby R; Schaar N; Kellerhals L; Raz O; Hermelin D; Pugatch R Phys Rev E; 2022 Mar; 105(3-2):035305. PubMed ID: 35428085 [TBL] [Abstract][Full Text] [Related]
11. QAOA for Max-Cut requires hundreds of qubits for quantum speed-up. Guerreschi GG; Matsuura AY Sci Rep; 2019 May; 9(1):6903. PubMed ID: 31061384 [TBL] [Abstract][Full Text] [Related]
12. The effect of classical optimizers and Ansatz depth on QAOA performance in noisy devices. Pellow-Jarman A; McFarthing S; Sinayskiy I; Park DK; Pillay A; Petruccione F Sci Rep; 2024 Jul; 14(1):16011. PubMed ID: 38992152 [TBL] [Abstract][Full Text] [Related]
13. An optimizing method for performance and resource utilization in quantum machine learning circuits. Salehi T; Zomorodi M; Plawiak P; Abbaszade M; Salari V Sci Rep; 2022 Oct; 12(1):16949. PubMed ID: 36216853 [TBL] [Abstract][Full Text] [Related]
14. Evidence of scaling advantage for the quantum approximate optimization algorithm on a classically intractable problem. Shaydulin R; Li C; Chakrabarti S; DeCross M; Herman D; Kumar N; Larson J; Lykov D; Minssen P; Sun Y; Alexeev Y; Dreiling JM; Gaebler JP; Gatterman TM; Gerber JA; Gilmore K; Gresh D; Hewitt N; Horst CV; Hu S; Johansen J; Matheny M; Mengle T; Mills M; Moses SA; Neyenhuis B; Siegfried P; Yalovetzky R; Pistoia M Sci Adv; 2024 May; 10(22):eadm6761. PubMed ID: 38809986 [TBL] [Abstract][Full Text] [Related]
16. Mean field approximation for solving QUBO problems. Veszeli MT; Vattay G PLoS One; 2022; 17(8):e0273709. PubMed ID: 36041120 [TBL] [Abstract][Full Text] [Related]
17. Quantum verification of NP problems with single photons and linear optics. Zhang A; Zhan H; Liao J; Zheng K; Jiang T; Mi M; Yao P; Zhang L Light Sci Appl; 2021 Aug; 10(1):169. PubMed ID: 34408129 [TBL] [Abstract][Full Text] [Related]
18. Implementing Graph-Theoretic Feature Selection by Quantum Approximate Optimization Algorithm. Li Y; Zhou RG; Xu R; Luo J; Hu W; Fan P IEEE Trans Neural Netw Learn Syst; 2024 Feb; 35(2):2364-2377. PubMed ID: 35862330 [TBL] [Abstract][Full Text] [Related]