Nanoscale Resonance Energy Transfer-Based Devices for Probabilistic Computing
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2015-09-01
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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.
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Lebeck, AR, CL Dwyer and S Wang (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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Alvin R. Lebeck
My interests span atoms to applications, with a foundation centered in computer architecture and systems. I enjoy a combination of interdisciplinary and conventional research.
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