Led development of quantum software projects: SimuQ (POPL 2024), QHDOPT, RISC-Q
Proposed novel algorithms such as Quantum Hamiltonian Descent
Co-organized the 'Advancing Quantum Computation Beyond Gate-Model (BGM 2024)' workshop
Background
Associate Professor in the Department of Computer Science and Institute for Advanced Computer Studies at the University of Maryland, College Park
Fellow at the Joint Center for Quantum Information and Computer Science (QuICS)
Amazon Scholar at AWS Braket
Research bridges theory and practice in quantum computing via full-stack software-hardware-algorithmic co-design
Promotes the 'Hamiltonian-oriented Quantum Algorithm Design and Programming' paradigm, treating Hamiltonian evolution as central to end-to-end quantum application design
Research interests include: practical quantum applications (optimization, machine learning, simulation), quantum system software (programming interfaces, real-time control systems, quantum OS/networks), automation/optimization of co-design using PL and ML, and robust control of quantum devices