Nanoscale Resonance Energy Transfer-Based Devices for Probabilistic Computing
dc.contributor.author | Lebeck, AR | |
dc.contributor.author | 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 | |
dc.identifier.uri | ||
dc.publisher | IEEE | |
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 | |
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 | |
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 |
Files
Original bundle
- Name:
- micro_ret_prob.pdf
- Size:
- 1.51 MB
- Format:
- Unknown data format
- Description:
- Published version