报告摘要：Realizing a universal quantum computer is challenging with current technology. Before having a fully-fledged quantum computer, a more realistic question is what we can do with current and near-term quantum hardware. In this talk, we first review the algorithms that are designed for noisy-intermediate-scaled-quantum devices with the so-called hybrid or variational approach. Then, we consider three major challenges in implementing these algorithms related to problem encoding, optimization, and error mitigation. We show recent progresses for overcoming these challenges and discuss potential future directions. With the rapid development of quantum hardware, error-mitigated variational quantum simulation may finally enable genuine quantum advantage demonstration in the noisy-intermediate-scaled quantum era.
报告人简介：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 University of Science and Technology China in 2017, 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 current research interests focus on near-term and universal quantum computing, and their applications.