张量网络表示及其延拓
Followed the tensor network course of last semester, this course would continue to introduce more advanced representations of tensor networks.
The main content includes the symmetric tensor network representation, the tensor network representation of topological states of quantum matter, concepts of probability modeling, quantum simulation and quantum error correction as well as their connections with tensor networks.
The main content includes the symmetric tensor network representation, the tensor network representation of topological states of quantum matter, concepts of probability modeling, quantum simulation and quantum error correction as well as their connections with tensor networks.
讲师
日期
2022年03月15日 至 06月07日
网站
修课要求
一定的张量网络基础知识
视频公开
不公开
笔记公开
不公开
讲师介绍
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。