
Faculty Candidate Seminar
Architecting Quantum Systems for the Scaling Era: A Systems Approach to Practical Quantum Computing
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Zoom link for remote attendees
Meeting ID: 999 4631 3276 Passcode: 123123
Abstract: Recent demonstrations of exponential error suppression in quantum computers and sustained growth in global investment signal quantum computing’s entry into the Age of Scale. We stand at a pivotal moment where quantum systems architecture becomes essential for transforming small-scale prototypes into practical, large-scale implementations. In this talk, I present system-driven approaches that guide the design of scalable quantum computing systems through integrated application- and hardware-aware optimizations. I demonstrate how compiler-level innovations for quantum Hamiltonian simulations dramatically reduce resources needed for quantum chemistry applications. I then showcase software-based strategies for mitigating dynamic hardware defects, providing elegant alternatives to costly hardware solutions. These examples illustrate how quantum systems research accelerates our path toward million-qubit systems by creating critical connections across the quantum computing stack. Looking forward, I outline future research directions for quantum systems architecture that will be crucial for realizing the transformative potential of practical quantum computing at scale.
Bio: Yunong Shi is a senior scientist at Amazon’s Center for Quantum Computing, where he developed the quantum operating system architecture for AWS’s in-house fault-tolerant quantum computers. Previously, he led the development of AWS’s quantum cloud compilation service. With over 20 publications in premier systems and programming language conferences including ASPLOS, MICRO, ISCA, HPCA, and PLDI, and 12 US patents, his expertise spans the entire quantum computing stack. His research extends from quantum chemistry and machine learning applications to quantum compilation, pulse-level control, and error correction. The unifying theme of his work is the design of novel abstraction layers that enable resource-efficient quantum computing systems, bridging theoretical capabilities with practical implementations to accelerate the path toward scalable quantum advantage.