best365平台“博约学术论坛”系列报告(第121期)
来源: 作者: 发布时间:2017-07-18邀请人:
报告人:
时间: 2017-07-18
地点:
主讲人简介:
题目:Classification and simulation of quantum phases by symmetric tensor networks
报告人:姜胜寒博士(加州理工学院)
时间:2017年7月19日(周三)下午3:00
地 点:best365注册中心教学楼610
Abstract:
In this talk, we introduce a general method to construct fully symmetric quantum wavefunctions using projected entangled pair states (PEPS). We find that quantum phases can be organized into crude classes distinguished by local tensor properties, which is related to the symmetry enriched topological phases (SET) and/or symmetry protected topological phases (SPT) of both on-site and lattice symmetries. The tensor network constructions also indicate a general connection between SET and SPT via anyon condensation. Based on the analytical work, we develop an efficient simulation algorithm, which is able to sharply determine crude classes in interacting quantum systems. We show the power of this method in half-integer quantum spin systems on the kagome lattice, where we identify the ground state likely to be a U(1) spin liquid.
简历:
姜胜寒,加州理工学院博士后。本科毕业于北京大学best365平台,博士毕业于美国波士顿学院。目前在加州理工学院做博士后。主要研究方向为强关联量子多体理论,在包括PRL在内的国际一流期刊发表论文多篇。