Quantum computing has emerged as a transformative frontier of computation. In recent years, quantum hardware has scaled at an unprecedented rate. As this momentum continues, the central challenge is shifting upward in the stack—from hardware-level feasibility toward system-level scalability. This talk will focus on quantum computer architecture and compiler systems, introducing the challenges and opportunities to efficiently harness device capabilities and lower the demands on hardware technology, thereby accelerating timelines for practical quantum advantage.
Hezi Zhang is a fifth-year Ph.D. candidate in the Computer Science and Engineering (CSE) department at the University of California, San Diego (UCSD). She received her M.S. in computer science from the Georgia Institute of Technology (GT) and her B.S. in physics from the University of Science and Technology of China (USTC). Her current research interests lie in quantum computing architecture and compiler optimization, including supporting scalable quantum computing and exploring different quantum computing paradigms.