Nanoscale Resonance Energy Transfer-Based Devices for Probabilistic Computing

dc.contributor.author

Lebeck, AR

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Dwyer, CL

dc.contributor.author

Wang, S

dc.date.accessioned

2015-12-09T18:52:51Z

dc.date.issued

2015-09-01

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.identifier.issn

0272-1732

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https://hdl.handle.net/10161/11136

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IEEE

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IEEE Micro

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10.1109/MM.2015.124

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Nanoscale Resonance Energy Transfer-Based Devices for Probabilistic Computing

dc.type

Journal article

duke.contributor.orcid

Lebeck, AR|0000-0003-1893-5464

pubs.begin-page

72

pubs.end-page

84

pubs.issue

5

pubs.organisational-group

Computer Science

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Duke

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Electrical and Computer Engineering

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Pratt School of Engineering

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Trinity College of Arts & Sciences

pubs.publication-status

Published

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35

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