A high-performance matrix product state algorithms library based on GraceQ/tensor
Easily push your bond dimension to 10k
For more information, user guide, and documentation, please visit project homepage.
- Rong-Yang Sun sun-rongyang@outlook.com
Note: For a complete list of the contributors, see CONTRIBUTORS.txt
You can cite the GraceQ/MPS2 where you use it as a support to this project. Please cite GraceQ/MPS2 as
GraceQuantum.org . GraceQ/MPS2: A high-performance matrix product state algorithms library based on GraceQ/tensor. Homepage: https://mps2.gracequantum.org . For a complete list of the contributors, see CONTRIBUTORS.txt .
We highly acknowledge the following people, project(s) and organization(s) (sorted in alphabetical order):
ALPS project, Chunyu Sun, Donna Sheng, Grace Song, Hao-Kai Zhang, Hao-Xin Wang, Hong-Chen Jiang, Hong-Hao Tu, Hui-Ke Jin, itensor.org, Jisi Xu, Le Zhao, Shuai Chen, Shuo Yang, Thomas P. Devereaux, Wayne Zheng, Xiaoyu Dong, Yi Zhou, Yifan Jiang, Zheng-Yu Weng
You can not meet this project without anyone of them. And the basic part of this project (before version 0.1) was developed by Rong-Yang Sun and Cheng Peng, when Rong-Yang Sun was a visiting student at Stanford University. So R.-Y. Sun want to give special thanks to his co-advisors Hong-Chen Jiang, Prof. Thomas P. Devereaux and their postdoctors Yifan Jiang and Cheng Peng.