报告题目：Tensor network simulation in strongly correlated systems: past, present and future
报告人：顾正澄 教授（Prof. Zheng-Cheng Gu）香港中文大学（Chinese University of Hong Kong）
报告时间：2023年7月17日上午10：00
报告地点：曲江校区bat365在线平台会议室（教九楼320）
报告摘要：Tensor network states are new kinds of variational wavefunctions that help us to understand quantum phases and phase transitions beyond Landau paradigm. In this talk, I will first review the major development of tensor-network simulation in the past two decades. In particular, I will introduce the novel concept of long-range entanglement and entanglement renormalization. Then I will discuss the major break throughs made by tensor-network simulations in recent years. If time permits, I will also mention the relationship between deep learning and tensor network simulation.
报告人简介：顾正澄，香港中文大学终身教授，曾任美国加州大学圣芭芭拉分校Kavli理论物理研究所研究员、加拿大Perimeter研究所研究员、美国加州理工学院访问研究员，北京大学、清华大学、浙江大学访问学者。曾就读于清华大学和麻省理工大学，研究方向为理论物理、凝聚态物理、高能粒子物理等。
