Brief introduction to Tensor Network theory
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
Date
6th March ~ 29th May, 2023
Location
| Weekday | Time | Venue | Online | ID | Password |
|---|---|---|---|---|---|
| Monday | 13:30 - 16:55 | A3-3-201 | ZOOM 03 | 242 742 6089 | BIMSA |
Prerequisite
A basic knowledge of quantum mechanics is required.
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).
Audience
Undergraduate
, Graduate
Video Public
No
Notes Public
No
Language
Chinese
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.