Gapless Spin Liquid Ground State in the S=12 Kagome Antiferromagnet

来源 :第7届量子多体计算会议(The 7th Workshop on Quantum Multi - Body Computi | 被引量 : 0次 | 上传用户:winqstrong
下载到本地 , 更方便阅读
声明 : 本文档内容版权归属内容提供方 , 如果您对本文有版权争议 , 可与客服联系进行内容授权或下架
论文部分内容阅读
Collaborators Tao Xiang Institute of Physics,Chinese Academy of Sciences(IOP,CAS) Bruce Normand Paul Scherrer Institute Zhiyuan Xie Renmin University of China Jing Chen IOP,CAS Zhi-yuan Liu ITP,CAS Hai-dong Xie IOP,CAS Rui-zhen Huang OP,CAS Outline 1.Brief introduction to quantum spin liquid and to tensornetwork states2.New Contraction Algorithm for tensor network states3.Numerical evidence of gapless spin liquid ground statein the S = 1/2 Kagome antiferromagnet
其他文献
Collaborators and Reference Collaborators:Meng Cheng(程蒙)(Yale University) Yang Qi(戚扬)(MIT) Chen Fang(方辰)(IOP,CAS) Zi Yang Meng(孟子杨)(IOP,CAS) Reference:
会议
Outline:1.A very brief introduction to quantum spin liquids(SLs).2.Experimental realization---frustrated magnetic materials.3.Spin liquids in spin-1/2 triangula
会议
Contents 1 Background and Motivation The Realization of Parafermion Chain Using MPS Method to Research Parafermion Chain 2 Review of Fermionic MPS Graded Tensor
会议
Outline Introduction to Many-Body Localization(MBL) Local Integrals of Motion(LIOM) Algorithm for constructing LIOM Results Quasi-Product States Conclusion MBL
会议
COLLABORATORS Acknowledgement to ERC AdG OSYRIS(ERC-2013-AdG Grant No.339106),the Spanish MINECO grants FOQUS(FIS2013-46768-P),FISICATEAMO(FIS2016-79508-P),and
会议
What is machine learning?"Give computers the ability to learn without being explicitly programmed." —Arthur Samuel Machine Learning 101Supervised learning Unsu
会议
Collaborators Prof.Ying-Jer Kao,National Taiwan University 高英哲教授,台灣大學物理系 Dr.Hiroaki Onishi(大西弘明) Japan Atomic Energy Agency Dr.Tsuyoshi Okubo(大
会议
Outline Brief Introduction to classical spin ice and quantum spin ice Ground state phase diagram Low-energy spectra Conclusions Brief introduction to CSI and QS
会议