分类与摘要
围绕量子计算实验与系统能力展开,适合作为量子方向的代表性成果入口。
证据摘录:ule Intelligent Syntheses. The nu- merical calculations in this study were carried out on the ORISE and new Sunway Supercomputer. Computing re- sources are financially supported by Laoshan Laboratory (No. LSKJ202300305). REFERENCES [1] “https://www.nobelprize.org/prizes/chemistry/2013/press-release.” [2] H. J. Butler, L. Ashton, B. Bird, G. Cinque, K. Curtis et al. , “Using raman spectroscopy to characterize biologi || ule Intelligent Syntheses. The nu- merical calculations in this study were carried out on the ORISE and new Sunway Supercomputer. Computing re- sources are financially supported by Laoshan Laboratory (No. LSKJ202300305). REFERENCES [1] “https://www.nobelprize.org/prizes/chemistry/2013/press-release.” [2] H. J. Butler, L. Ashton, B. Bird, G. Cinque, K. Curtis et al. , “Using raman spectroscopy to character || s. The nu- merical calculations in this study were carried out on the ORISE and new Sunway Supercomputer. Computing re- sources are financially supported by Laoshan Laboratory (No. LSKJ202300305). REFERENCES [1] “https://www.nobelprize.org/prizes/chemistry/2013/press-release.” [2] H. J. Butler, L. Ashton, B. Bird, G. Cinque, K. Curtis et al. , “Using raman spectroscopy to characterize biological materials,” Nat || s. The nu- merical calculations in this study were carried out on the ORISE and new Sunway Supercomputer. Computing re- sources are financially supported by Laoshan Laboratory (No. LSKJ202300305). REFERENCES [1] “https://www.nobelprize.org/prizes/chemistry/2013/press-release.” [2] H. J. Butler, L. Ashton, B. Bird, G. Cinque, K. Curtis et al. , “Using raman spectroscopy to characterize biological materi
引用
Honghui Shang,Ying Liu,Zhikun Wu,Zhenchuan Chen,Jinfeng Liu,Meiyue Shao,Yingzhou Li,Bowen Kan,Huimin Cui,Xiaobing Feng,Yunquan Zhang,Donald G. Truhlar,Hong An,Xiao He,Jinlong Yang,Pushing the Limit of Quantum Mechanical Simulation to the Raman Spectra of a Biological System with 100 Million Atoms,In the Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis(SC24),Atlanta US, November 17-22, 2024 (CCF A,2024年Gordon Bell奖提名)
@article{acsa2024_29,
title = {Pushing the Limit of Quantum Mechanical Simulation to the Raman Spectra of a Biological System with 100 Million Atoms},
year = {2024},
doi = {10.1109/sc41406.2024.00011}
} | title | Pushing the Limit of Quantum Mechanical Simulation to the Raman Spectra of a Biological System with 100 Million Atoms |
|---|---|
| title_zh | 待补充 |
| abstract | 待补充 |
| abstract_zh | 待补充 |
| keywords | Quantum, 学位认定 A, CCF A |
| year | 2024 |
| published_date | 待补充 |
| online_date | 待补充 |
| paper_type | Conference |
| publication_status | Published |
| volume | 待补充 |
| issue | 待补充 |
| pages | 待补充 |
| article_number | 待补充 |
| publisher | 待补充 |
| doi | 10.1109/sc41406.2024.00011 |
| research_area | 量子计算 |
| tags | Quantum, 学位认定 A, CCF A |
| category | 量子计算 |
| summary | 围绕量子计算实验与系统能力展开,适合作为量子方向的代表性成果入口。 |
| authors | Honghui Shang, Ying Liu, Zhikun Wu, Zhenchuan Chen, Jinfeng Liu, Meiyue Shao, Yingzhou Li, Bowen Kan |
| corresponding_authors | 待补充 |
| affiliations | 待补充 |
| funding | 崂山实验室项目 |