Chips collage

The Very Large Scale Integration (VLSI) Research Group at the University of Minnesota focuses on developing core circuit technologies for enabling smart and energy-efficient integrated systems. Applications we target range from machine learning and neuromorphic computing, hardware security, internet-of-things, medical devices, sensor networks, radiation hardened chips, to quantum-inspired computing. Our group’s research frequently appears in top VLSI technology and circuit design publications such as ISSCC, IEDM, VLSI, CICC, IRPS, and various IEEE journals.

Recent News

Jan 2023 We are embarking on several new projects aiming at developing commercially-viable quantum-inspired computing chips [NEWS]

May 2022 Our quantum-inspired Ising chip with almost 2,000 coupled ring oscillators is published in Nature Electronics [PAPER] [NEWS] [BRIEFING]

April 2022 Professor Kim is recognized as Distinguished Mcknight University Professor [ECE NEWS] [UNIVERSITY NEWS] 

March 2022: RTL and testbench of our open-source silicon odometer aging sensor is now available on Github: https://github.com/reliability-research/odometer [PAPER]

June 2021: Prof. Kim is appointed as Louis John Schnell Professor in Electrical and Computer Engineering.