学术报告
题目: [栖湖讲座(第115期)] Majorana zero modes and topological quantum computing based on Meissner effect and Abrikosov vortex
时间: 2025年10月29日 15:00
报告人: 刘鑫 教授

上海交通大学李政道研究所

报告摘要:

Majorana zero modes (MZMs) exhibit non-Abelian braiding statistics, rendering them a cornerstone for topological quantum computing. A robust MZM platform demands a wide topological superconducting parameter space that facilitates experimental detection and control of MZMs and provides a promising device for realizing topological quantum computation. In this talk, I will begin by discussing how the Meissner effect can induce the topological superconducting phase in a superconductor/topological-band (SC/TB) hybrid system, which reduces the required magnetic field below H_c1. Then, I will explore the potential of using either the Meissner effect or the Abrikosov vortex to realize controllable MZMs in the SC/TB nanowire system. These results are supported by realistic simulations shown during this talk. Finally, I will present the scheme for building a robust Majorana platform based on SC/TB nanowire systems and discuss the key difficulties towards topological quantum computing.

References:

[1] Xiao-Hong Pan, Si-Qi Yu, Li Chen, Fu-Chun Zhang, Xin Liu, arXiv:2509.24686

[2] Si-Qi Yu, Wei Cheng, Chuang Li, Xiao-Hong Pan, Gang Xu, Fu-Chun Zhang, Xin Liu, arXiv. 2412. 19096

[3] Xiao-Hong Pan, et al., Phys. Rev. Lett. 132, 036602 (2024)

[4] Chuang Li, et al., National Science Review, 9: nwac095 (2022)

报告人简介:

Prof. Xin Liu received his B.S. and M.S. degrees from Nankai University and Chern Institute of Mathematics, Tianjin. He received his Ph.D. from Texas A&M University in 2012. After graduation, he worked as a postdoctoral researcher at Pennsylvania State University from 2012 to 2014 and at the Condensed Matter Theory Center at the University of Maryland from 2014 to 2015. He joined Huazhong University of Science and Technology in 2015 and Tsung-Dao Lee Institute, Shanghai Jiao Tong University in 2024.

邀 请 人:冯军雅 副研究员

联 系 人:王慧颖 why@iphy.ac.cn

报告地点:怀柔园区X1南楼204会议室

腾讯会议:922-601-543 会议密码:2025

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