报告人：Xiao Yuan

Department of Materials, University of Oxford

时间：2019年1月12日下午 15:30

地点：知新楼C座1011室

邀请人：逯鹤 教授

报告摘要：

Variational algorithms may enable classically intractable simulations on near-future quantum computers. However, their potential is limited by hardware errors. It is therefore crucial to develop efficient ways to mitigate these errors. In this talk, we introduce the recently proposed error mitigation methods for suppressing errors in shallow circuits. We show how to suppress both device errors due to implementation imperfection and algorithmic errors due to algorithm approximation. Theses error mitigation methods can be implemented on current quantum hardware.

个人简介：

Dr. Xiao Yuan received his Bachelor in theoretical physics (major) and computer science (minor) from Peking University in 2012. He received his Ph.D. degree in Physics from Tsinghua University in 2017. From 2017, Xiao conducted research as a postdoctoral fellow at University of Oxford. Xiao’s research interests span the wide spectrum of quantum information science, from fundamental quantum information to algorithms for near-term quantum computers. He predominantly worked on theoretical aspects of quantum information, specifically, measuring and quantifying ‘quantumness’, random number generation and self-testing quantum information. His current research is focused on pragmatic approaches to quantum computing, among which algorithms for simulation and machine learning on near-future quantum computers in particular. Xiao’s research explored the interconnectedness of these seemingly disparate topics, and ways to realize them experimentally.

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