基本信息
浏览量:117
职业迁徙
个人简介
Garnet Chan's research lies at the interface of theoretical chemistry, condensed matter physics, and quantum information theory, and is concerned with quantum many-particle phenomena and the numerical methods to simulate them. The aim is to understand physical systems at the boundaries of accessible computational complexity, and to devise new physical simulation methods to push these boundaries forward. Over the last decade, his group has contributed to and invented a variety of methods addressing different aspects of quantum simulations, ranging from the challenges of strong electron correlation, to treating many-particle problems in the condensed phase, to dynamical simulations of spectra and coupling between electron and nuclear degrees of freedom. Some of these methods include density matrix renormalization and tensor network algorithms for real materials, canonical transformation-based down-foldings, local quantum chemistry methods, quantum embeddings including dynamical mean-field theory and density matrix embedding theory, and new quantum Monte Carlo algorithms. The primary focus is on methodologies for problems which appear naively exponentially hard, but where an understanding of inherent physics, for example in terms of the entanglement structure, allows for calculations of polynomial cost.
研究兴趣
论文共 293 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
PHYSICAL REVIEW Xno. 1 (2024): 011009
The Journal of chemical physicsno. 16 (2024)
SCIENCE ADVANCESno. 3 (2024): eadk4321-eadk4321
Physical reviewno. 23 (2023)
JOURNAL OF CHEMICAL PHYSICSno. 23 (2023)
JOURNAL OF PHYSICAL CHEMISTRY Ano. 47 (2023): 9974-9984
SciPost Physics Codebases (2023)
引用1浏览0引用
1
0
Nature Reviews Physicsno. 5 (2023): 273-276
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