Kerem Y. Camsari, PhD
kcamsari AT purdue DOT edu
My name is Kerem Camsari and I am a post-doctoral researcher at the School of Electrical and Computer Engineering at Purdue University with the Supriyo Datta group, where I have also received my PhD degree.
My research is about bridging the gap between novel materials and phenomena (Physics) and functional devices and circuits (Systems).
My PhD work was about developing a modular circuit framework to explore and understand emerging phenomena to evaluate new spintronic devices and circuits. Each module is carefully benchmarked with established physical methods and available experiments in the fields of spintronics and magnetics. This framework has been in continuous development to incorporate new physics and materials and is used to understand, evaluate and propose new experiments, functional devices and circuits.
My post PhD work has been about establishing a new kind of computing platform based on probabilistic (p)-bits and (p)-circuits. We have shown that p-bits can be compactly built using present day technology, and can be useful for a wide range of applications including combinatorial optimization and Ising computing, stochastic neural networks (Boltzmann Machines) in hardware, Bayesian networks, and for implementing “invertible” Boolean logic. Invertible logic allows the design of Booelan circuits that can be operated in reverse: A hardware multiplier can be useful as a hardware factorizer that can potentially solve hard problems such as integer factorization. In addition to detailed SPICE-based simulations, we have experimentally built and investigated the behavior of p-circuits using microcontrollers and FPGA’s. An ongoing and future direction I am interested in is exploring experimental implementations of p-circuits using nanodevices such as Magnetic Tunnel Junctions.
More intriguingly, we have recently shown that a p-bit can function as a poor man’s q-bit and robust, room temperature p-circuits can be used to emulate a special class of quantum circuits to build scalable quantum emulators. I am particularly interested in exploring how far this connection between q-bits and p-bits can be taken.
Take a look at the IEEE Spectrum Article on our recent work on p-bits.
Check out a recent talk in the Spintronics meets Neuromorphics Workshop for an overview of p-bits and p-circuits.
My CV is here.