Nanoscale Resonance Energy Transfer-Based Devices for Probabilistic Computing

Published

Journal Article

© 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.

Full Text

Duke Authors

Cited Authors

  • Wang, S; Lebeck, AR; Dwyer, C

Published Date

  • September 1, 2015

Published In

Volume / Issue

  • 35 / 5

Start / End Page

  • 72 - 84

International Standard Serial Number (ISSN)

  • 0272-1732

Digital Object Identifier (DOI)

  • 10.1109/MM.2015.124

Citation Source

  • Scopus