Probabilistic Computing: From Materials and Devices to Circuits and Systems
|Event Date:||February 26, 2020|
|School or Program:||Electrical and Computer Engineering
School of Electrical and Computer Engineering
As the amazing progress enabled by the continued miniaturization of the field-effect-transistor slows down, there is developing interest in non-traditional computing as a path to energy-efficiency and increased functionality. In this talk, I will describe one such path based on the concept of probabilistic or p-bits that can be scalably built with present-day technology used in magnetic memory devices.
I will argue that p-bits can be robustly placed in between deterministic bits that are at the heart of digital computers and quantum bits that are at the heart of quantum computers. I will show that these p-bits can be used as building blocks for constructing autonomous p-circuits that can accelerate many current applications like optimization, invertible logic and machine learning algorithms, while providing a bridge to the Noisy-Intermediate-Scale Quantum (NISQ) era quantum computers. Along this direction, I will describe a recent experimental demonstration of an 8-bit p-computer implementing a quantum-inspired optimization algorithm.
An underlying theme throughout this work is an Atoms to Systems approach that that includes emerging materials and novel phenomena (e.g. spintronics, quantum materials), transport theory and device physics, circuit simulation, system-level behavioral synthesis (e.g. using FPGAs), and an understanding of Machine Learning and Quantum Computing algorithms that drive the search for new and specialized devices.
Kerem Camsari is currently a post-doctoral researcher in the School of Electrical and Computer Engineering at Purdue University. He received his Ph.D. in 2015 at Purdue from the Supriyo Datta group. His PhD work established a modular approach to connect a growing set of emerging materials and phenomena to circuits and systems, a framework that has also been adopted by others. In his postdoctoral work, he used this approach to establish the concept of p-bits and p-circuits as a bridge between classical and quantum circuits. He has also collaborated with many groups within and outside Purdue to explore a wide variety of materials, devices and circuits.
Kerem has published over 35 papers in refereed journals and conferences including Nature, Nature Electronics, Science Advances, Physical Review X. He has given over 15 invited talks in international conferences and workshops, including American Physical Society (APS) March Meeting in 2016, IEEE Device Research Conference (DRC) in 2017, Magnetism and Magnetic Materials (MMM) Conference in 2017, the IEEE International Electron Devices Meeting (IEDM) in 2019 and the International Conference on VLSI Design (VLSID) in 2020. He has also served on the technical program committee for Design, Automation and Test in Europe Conference (DATE) in 2020.
Professor Joerg Appenzeller, firstname.lastname@example.org
2020-02-26 13:30:00 2020-02-26 14:30:00 America/New_York Probabilistic Computing: From Materials and Devices to Circuits and Systems Kerem Camsari Post-Doctoral Researcher School of Electrical and Computer Engineering Purdue University MSEE 239