Error-mitigated quantum computing with near-term quantum hardware

报告题目:Error-mitigated quantum computing with near-term quantum hardware

报告人:袁骁 助理教授(北京大学前沿计算中心)




        Realizing a universal quantum computer is challenging with current technology. Before having a fully-fledged quantum computer, a more practical question is what we can do with current and near-term quantum hardware. Focusing on the noisy-intermediate-scaled-quantum regime, we present variational quantum algorithms for solving static and dynamic problems of many-body physics. We show how to suppress device errors due to implementation imperfection on both digital and analog quantum computers. The algorithms are also applicable to other tasks, including quantum machine learning, quantum sensing, and quantum error correction. With the rapid development of quantum hardware, error-mitigated variational quantum algorithms may finally enable genuine quantum advantage demonstration in the noisy-intermediate-scaled quantum era.  


       Dr. Xiao Yuan received his Bachelor in theoretical physics from Peking University in 2012 and got his PhD in physics from Tsinghua University in 2016. Then he worked as a postdoc at Oxford University from 2017 to 2019 and at Stanford University from 2019 to 2020. He is now an assistant professor at Center on Frontiers of Computing Studies, Peking University. Dr. Xiao Yuan’s research interests focus on three aspects of quantum information science, including near-term and universal quantum computing, quantum foundation, and quantum cryptography.