软物质系列学术报告

题目: Computation with Tensor Networks

主讲人: 张潘研究员，中科院理论物理研究所

时间地点： 2022年4月26日（周二）上午10：00,物理楼307（线上）

腾讯会议号：999192633

主讲人简介：张潘，中科院理论物理研究所研究员，本科、博士毕业于兰州大学，曾在美国圣塔菲研究所从事博士后研究。张潘的研究兴趣广泛，关心统计物理，机器学习与量子物理的交叉领域，在近期的工作中提出新的张量网络算法成功模拟了谷歌的量子霸权计算机。

Abstract：In statistical mechanics, the partition function at a finite temperature can be estimated by contracting a tensor network that is mapped from the physics problem. When equipped with the “Tropical” algebra, the tensor network contraction can compute the energy and entropy directly at zero temperature. When the interactions in the model are complex rather than real, computing the partition function acts as estimating the amplitudes of the final state of a quantum circuit.

In this talk, Pan Zhang will present methods and algorithms for solving statistical mechanics problems, combinatorial optimization problems, and quantum circuit simulations,  in an integrated framework of tensor networks, focusing on a particular application in simulating Google’s Sycamore quantum circuits.