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About
President
Governance
Partner Institutions
Visit
People
Management
Faculty
Postdocs
Visiting Scholars
Administration
Academic Support
Research
Research Groups
Courses
Seminars
Join Us
Faculty
Postdocs
Students
Events
Conferences
Workshops
Forum
Life @ BIMSA
Accommodation
Transportation
Facilities
Tour
News
News
Announcement
Downloads
Qiuzhen College, Tsinghua University
Yau Mathematical Sciences Center, Tsinghua University (YMSC)
Tsinghua Sanya International  Mathematics Forum (TSIMF)
Shanghai Institute for Mathematics and  Interdisciplinary Sciences (SIMIS)
Hetao Institute of Mathematics and Interdisciplinary Sciences
BIMSA > YMSC-BIMSA Quantum Information Seminar Black Box Quantum Error Mitigation
Black Box Quantum Error Mitigation
Organizer
Zhengwei Liu
Speaker
Xingyao Wu
Time
Friday, April 29, 2022 11:00 AM - 12:00 PM
Venue
JCY-1
Online
Zoom 427 154 2002 (BIMSA)
Abstract
Recent years, prototypes of quantum computers have been built to the scale of around 100 qubits. Due to noise and length of coherence time, none of them have shown the capability of fault tolerant computing yet. This stage of quantum computing is dubbed as Noisy Intermediate-Scale Quantum (NISQ). One of the most interesting topics with NISQ devices is the possibility of achieving useful results with these noisy devices. A prominent method is Quantum Error Mitigation (QEM) which aims to reduce or cancel the error in NISQ quantum circuits. It has been shown that QEM has good performance in serval conditions. However, most of them rely on full knowledge of the noise model or have strong assumptions of the Hilbert space structure of the device. It is no harm to have these assumptions when doing experiments for oneself unless someone is accessing quantum computing service through cloud service, which could be prevailing in the future. In this talk, we present a formalism of QEC in a black box manner, where nothing is assumed except for the experimental statistics. We demonstrate the efficacy by applying it to a real Variational Quantum Algorithm (VQA) which solves the eigenstate energy of a chemical molecule. Our formalism will also survive the verification of Blind Quantum Computing (BQC).
Speaker Intro
邬兴尧,博士,现任清华大学计算机科学与技术系量子软件研究中心副研究员。曾任京东探索研究院Quantum AI Lab负责人。本科毕业于中国科学技术大学少年班学院;2017年于新加坡国立大学Centre for Quantum Technologies取得博士学位;2017-2019年期间于美国马里兰QuICS量子计算中心担任博士后研究员。长期从事量子算法、量子机器学习、量子纠缠理论、量子设备验证、模拟量子计算等领域的研究。
Beijing Institute of Mathematical Sciences and Applications
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