Zhexuan Gong
Associate Professor, Department of Physics
My research lies at the intersection of quantum information, AMO physics, and condensed matter physics. In particular, my research has been focused on how nonlocal interactions among quantum particles can be harnessed to speed up quantum computing, facilitate quantum metrology, or create artificial material with novel properties. In addition, I’m interested in applying machine learning to the computation of quantum many-body systems and to the data generated by large-scale quantum simulators.
My research lies at the intersection of quantum information, AMO physics, and condensed matter physics. In particular, my research has been focused on how nonlocal interactions among quantum particles can be harnessed to speed up quantum computing, facilitate quantum metrology, or create artificial material with novel properties. In addition, I’m interested in applying machine learning to the computation of quantum many-body systems and to the data generated by large-scale quantum simulators.
Education
- PhD, University of Michigan
- BS, Computer Science, Huazhong University of Science and Technology
- BS, Physics, Huazhong University of Science and Technology
Grants
Existing grant: NSF CCF-1839232, “RAISE-TAQS: Entanglement and information in complex networks of qubits,” 10/01/2018-9/30/2021, $985,926, PI: Zhexuan Gong, Co-PIs: Lincoln Carr, Meenakshi Singh, Cecilia Diniz-Behn.
Research Areas
Gong is an active researcher in the broad field of quantum information and is particularly interested in understanding new quantum materials using concepts and tools from quantum information.