报告题目：Tensor network simulation in strongly correlated systems: past, present and future

报告人: Prof. Zheng-Cheng Gu（顾正澄）,Chinese University of Hong Kong

报告时间: 2023年05月12日16:00

报告地点: 理科楼三楼报告厅（C302）

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：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。