Events

Fault-tolerant quantum computing (FTQC) will not be enabled by better qubits alone—it will be enabled by systems. Error correction turns a quantum computer into a real-time quantum–classical feedback loop, in which the machine must continuously measure, decode, synchronize, and respond. And scale matters: the overheads of FTQC are so steep that practical machines will increasingly resemble datacenter-scale systems, where networking, interfaces, distributed computing, and memory organization become first-order design constraints.

In this talk, I will summarize our research on building the 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 improve throughput and enable multi-feature readout, exposing richer information to the control stack. I will then introduce new runtime primitives, including synchronization and coordination mechanisms, that become essential when many subsystems must operate in lockstep under tight timing constraints.

Finally, I will highlight a key gap between quantum error correction (QEC) theory and much of today’s quantum compiler infrastructure—a gap not only in hardware capability, but also in how we represent, schedule, and manage fault-tolerant execution. I will describe our steady progress in closing this gap by co-designing compilation and runtime abstractions—effectively moving toward an operating system for fault-tolerant quantum machines.

Bio: Swamit Tannu is an Assistant Professor in the Computer Sciences department at the University of Wisconsin-Madison, where he leads the QUEST Research Group. His research focuses on developing architectural 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 before joining the University of Wisconsin-Madison in 2021.

This event starts at 3:30pm with refreshments, followed at 3:45pm by a short presentation by Chaithanya Naik Mude (Tannu group) titled "Enabling Fast and Accurate Neutral Atom Readout via Gen-AI based Image Denoising". The invited presentation starts at 4pm.