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

by Prof. Zhengcheng Gu (The Chinese University of Hong Kong)

Thursday 19 Jun 2025, 10:30 → 11:30 Asia/Shanghai

Tsung-Dao Lee Institute/N4F-N400 - meeting room (Tsung-Dao Lee Institute)

Host: Prof. Baiqing Lv

Venue: TDLI Meeting Room N400

Tencent Meeting link: https://meeting.tencent.com/dm/0QkimrXSp8C2  Meeting ID: 624793310, no password

 

Abstract:

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 breakthroughs made by tensor network simulations  in recent years. If time permits, I will also mention the relationship between deep learning and tensor network simulation.

 

Biography:

Prof. Zheng-Cheng Gu received his PhD degree from Institute for Advanced Study, Tsinghua University in 2007. Then he worked at MIT and Kavli Institute for Theoretical Physics, UCSB as a post doctor, and at Perimeter Institute as a Director's Fellow. He joined the Chinese University of Hong Kong as a faculty in 2016. Prof. Gu's major research interest lies in entanglement renormalization and deep learning, classification of topological phases in interacting bosonic and fermionic systems, tensor network simulation for two dimensional strongly correlated systems and so on. Together with Xiao-Gang Wen, he came up with the concept of symmetry protected topological(SPT) order and developed the theory for SPT phases in interacting fermionic systems. Due to his outstanding research, he received the RGC Early Career Award 2016/17 from University Grants Committee.