Ji Liu is a postdoctoral appointee under the supervision of Dr. Martin Suchara. He received his Ph.D. from North Carolina State University, Raleigh, NC, where he majored in computer engineering. Prior to joining Argonne, he was a summer intern at IBM in 2020, where he developed topology-aware quantum circuit optimizations.
Liu’s research focuses on Quantum Computing, Computer Architecture, and Compiler Optimization with a special interest in improving the programmability, debuggability, and reliability of quantum computers. His work has appeared at top venues in Computer Architecture (ASPLOS’20, HPCA’21, HPCA’22), Compiler Optimization(CGO’21), Super Computing(ICS’20), and Workload Characterization(IISWC’20).
Currently, he is working on noise-aware compilers for NISQ computers. He is also interested in quantum algorithms including quantum machine learning and quantum combinatorial algorithms such as VQE and the Quantum Approximate Optimization Algorithm.
- Computer architecture
- Quantum computing
- Compiler optimization
- Programing languages