Error-mitigated Quantum Computing with Near-term Quantum Hardware
- Xiao Yuan, Stanford University
- Time: 2020-04-05 10:40
- Host: Prof. Xiaotie Deng
- Venue: Online Talk
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 in the noisy-intermediate-scaled quantum era.
Dr. Xiao Yuan received his Bachelor in theoretical physics (major) and computer science (minor) from Peking University in 2012. He got his PhD in physics from Tsinghua University in 2016. Then he worked as a postdoc at Oxford University from 2017 to Sep. 2019. He is now a postdoc at Stanford University. Dr. Xiao Yuan's research interests span the wide spectrum of quantum information science, from fundamental quantum information to algorithms for near-term quantum computers.