Selected Topics on Frontiers of Tensor Networks
本课程面向对张量网络有一定了解的听众，分阶段，分专题选择性地讲解张量网络领域的重要综述并介绍张量网络算法在物理学、机器学习、量子计算等领域的最新研究进展。
Lecturer
Date
14th September ~ 2nd December, 2021
Prerequisite
需对参考书目里涉及的张量网络算法有基本的了解。
Reference
Orus, R. Annals of Physics 349, 117–158 (2014).
Orus, R. The European Physical Journal B 87, (2014).
Schollwoeck, U. Annals of Physics 326, 96–192 (2011).
Verstraete, F., Cirac, J. I. & Murg, V. Advances in Physics 57, 143–224 (2008).
Orus, R. The European Physical Journal B 87, (2014).
Schollwoeck, U. Annals of Physics 326, 96–192 (2011).
Verstraete, F., Cirac, J. I. & Murg, V. Advances in Physics 57, 143–224 (2008).
Video Public
No
Notes Public
No
Lecturer Intro
Song Cheng is an Assistant Professor at the Yanqi Lake Beijing Institute of Mathematical Sciences and Applications (BIMSA). He holds a PhD in theoretical physics from the Institute of Physics, CAS, and previously served as an Assistant Professor at the Center of Quantum Computing in Pengcheng Laboratory. His current research focuses on investigating the relationship between machine learning, quantum many-body physics, and quantum computing through tensor networks.