基本信息
浏览量:0
职业迁徙
个人简介
Yao-Lung (Leo) Fang is currently an assistant scientist with Brookhaven National Laboratory (BNL), Upton, NY, USA. He is a theoretical physicist by training, specialized in quantum optics and open quantum systems. After joining BNL, his research interests gradually shifted toward high-performance computing and quantum computing. He is best known for his works in waveguide quantum electrodynamics in the non-Markovian regime and GPU acceleration for ptychography. He is a regular contributor to several efforts within the Python scientific computing ecosystem and the CuPy project. He received the B.S. degree in physics from National Taiwan University, Taipei, Taiwan, in 2009, and the Ph.D. degree in physics from Duke University, Durham, NC, USA, in 2017. He has mentored several GPU Hackathon teams for Python GPU programming and is a member of the Consortium for Python Data API Standards. He is the corresponding author of this article. Contact him at leofang@bnl.gov.
研究兴趣
论文共 26 篇作者统计合作学者相似作者
按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
CoRR (2023): 1050-1061
引用0浏览0EI引用
0
0
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) (2022): 8622-8626
Bulletin of the American Physical Society (2020)
引用0浏览0引用
0
0
Handbook on Big Data and Machine Learning in the Physical Sciencespp.141-157, (2020)
11th Italian Quantum Information Science conference (IQIS2018)no. 1 (2019): 18
加载更多
作者统计
合作学者
合作机构
D-Core
- 合作者
- 学生
- 导师
数据免责声明
页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn