Brief introduction to Tensor Network theory

Prerequisite

A basic knowledge of quantum mechanics is required.

Abstract

This course will provide a general introduction to the theoretical part of tensor networks. The main contents include symmetric tensor network representation, fermionic tensor network representation, tensor network representation of typical topological quantum states, as well as connections between tensor network representation and probabilistic modeling, quantum simulation, quantum error correction, etc.

Lecturer Intro.

程嵩，现任北京雁栖湖应用数学研究院助理研究员，曾任鹏城实验室量子计算中心助理研究员，博士毕业于中科院物理所理论物理专业。他的研究方向是张量网络算法，研究兴趣主要集中于开发张量网络在凝聚态物理，机器学习，量子计算等方向的新算法。