Fault-tolerant quantum computing (FTQC) will not be ena bled by better qubits alone—it will be enabled by systems. Error cor rection turns a quantum computer into a real-time quantum–classical feedback loop\, in which the machine must continuously measure\, decod e\, synchronize\, and respond. And scale matters: the overheads of FTQ C are so steep that practical machines will increasingly resemble data center-scale systems\, where networking\, interfaces\, distributed com puting\, and memory organization become first-order design constraints .
\nIn this talk\, I will summarize our research on building th e compiler and architecture foundations needed to make FTQC scalable\, efficient\, and programmable. I will begin with scaling qubit readout —a central bottleneck—and our work on readout pipelines that impro ve throughput and enable multi-feature readout\, exposing richer infor mation to the control stack. I will then introduce new runtime primiti ves\, including synchronization and coordination mechanisms\, that bec ome essential when many subsystems must operate in lockstep under tigh t timing constraints.
\nFinally\, I will highlight a key gap be tween quantum error correction (QEC) theory and much of today’s quan tum compiler infrastructure—a gap not only in hardware capability\, but also in how we represent\, schedule\, and manage fault-tolerant ex ecution. I will describe our steady progress in closing this gap by co -designing compilation and runtime abstractions—effectively moving t oward an operating system for fault-tolerant quantum machines.
\n< p>Bio: Swamit Tannu is an Assistant Professor in the Computer Sciences department at the University of Wisconsin-Madison\, where he leads th e QUEST Research Group. His research focuses on developing architectur al and systems abstractions for quantum computers to enable scientific discovery at scale. Swamit’s work has been recognized with the NSF CAREER Award and also been inducted into the MICRO Hall of Fame (class of 2022). Swamit earned his Ph.D. from Georgia Tech in Dec 2020 befo re joining the University of Wisconsin-Madison in 2021. \nThis event starts at 3:30pm with refreshments\, followed at 3:45pm by a sho rt presentation by Chaithanya Naik Mude (Tannu group) titled "Enabling Fast and Accurate Neutral Atom Readout via Gen-AI based Image Denoisi ng". The invited presentation starts at 4pm.
\n URL:https://www.physics.wisc.edu/events/?id=9434 END:VEVENT END:VCALENDAR