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Nanoscale Resonance Energy Transfer-Based Devices for Probabilistic Computing

dc.contributor.author Dwyer, C
dc.contributor.author Lebeck, AR
dc.contributor.author Wang, S
dc.date.accessioned 2015-12-09T18:52:51Z
dc.date.issued 2015-09-01
dc.identifier.issn 0272-1732
dc.identifier.uri https://hdl.handle.net/10161/11136
dc.description.abstract © 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.
dc.relation.ispartof IEEE Micro
dc.relation.isversionof 10.1109/MM.2015.124
dc.title Nanoscale Resonance Energy Transfer-Based Devices for Probabilistic Computing
dc.type Journal article
pubs.begin-page 72
pubs.end-page 84
pubs.issue 5
pubs.organisational-group Computer Science
pubs.organisational-group Duke
pubs.organisational-group Electrical and Computer Engineering
pubs.organisational-group Pratt School of Engineering
pubs.organisational-group Trinity College of Arts & Sciences
pubs.publication-status Published
pubs.volume 35


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