Nanoscale Resonance Energy Transfer-Based Devices for Probabilistic Computing
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© 1981-2012 IEEE.Despite the theoretical advances in probabilistic computing, a fundamental mismatch persists between the deterministic hardware that traditional computers use and the stochastic nature of probabilistic algorithms. In this article, the authors propose Resonance Energy Transfer (RET) between chromophores as an enabling technology for probabilistic computing functional units. As a natural continuous-time Markov chain, RET networks can physically implement efficient samplers with arbitrary probability distributions and have great potential for accelerating probabilistic algorithms.
Published Version (Please cite this version)10.1109/MM.2015.124
Publication InfoDwyer, C; Lebeck, AR; & Wang, S (2015). Nanoscale Resonance Energy Transfer-Based Devices for Probabilistic Computing. IEEE Micro, 35(5). pp. 72-84. 10.1109/MM.2015.124. Retrieved from https://hdl.handle.net/10161/11136.
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Associate Professor in the Department of Electrical and Computer Engineering
Dr. Chris Dwyer received his B.S. in computer engineering from the Pennsylvania State University in 1998, and his M.S. and Ph.D. in computer science from the University of North Carolina at Chapel Hill in 2000 and 2003, respectively.
This author no longer has a Scholars@Duke profile, so the information shown here reflects their Duke status at the time this item was deposited.
Professor of Computer Science
Computer Systems Engineering with a focus on computer architecture, nano-scale systems, memory system, energy efficient computing, and multiprocessors.
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