Publication Date:
2017-11-23
Description:
Author(s): D. Vodenicarevic, N. Locatelli, A. Mizrahi, J. S. Friedman, A. F. Vincent, M. Romera, A. Fukushima, K. Yakushiji, H. Kubota, S. Yuasa, S. Tiwari, J. Grollier, and D. Querlioz Random number generation is critical for many emerging computing schemes, but the associated energy consumption and circuit area are major bottlenecks. This study exploits the stochastic behavior of superparamagnetic tunnel junctions, magnetic nanodevices that, due solely to thermal noise, will switch randomly between two well-defined states. These tunnel junctions can produce high-quality, truly random bit streams, with an energy efficiency that is orders of magnitude better than the state of the art. The authors furthermore develop an example that highlights the utility of superparamagnetic random number generation for low-energy probabilistic computing. [Phys. Rev. Applied 8, 054045] Published Wed Nov 22, 2017
Electronic ISSN:
2331-7019
Topics:
Physics
Permalink