Nonlinear optical components for all-optical probabilistic graphical model
To circumvent the limitations of electronic computers, moving to hybrid optical-electronic or all-optical devices may be useful. Here, Babaeian et al. present an all-optical implementation of the probabilistic graphical model using nonlinear optics in thin films to implement mathematical functions.
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| Format: | Article |
| Language: | English |
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Nature Publishing Group
2018-05-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-018-04578-x |
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Article |
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doaj-32a16c4499d848aea4272e4263c0adff2021-05-11T09:44:42ZengNature Publishing GroupNature Communications2041-17232018-05-01911810.1038/s41467-018-04578-xNonlinear optical components for all-optical probabilistic graphical modelMasoud Babaeian0Pierre-A. Blanche1Robert A. Norwood2Tommi Kaplas3Patrick Keiffer4Yuri Svirko5Taylor G. Allen6Vincent W. Chen7San-Hui Chi8Joseph W. Perry9Seth R. Marder10Mark A. Neifeld11N. Peyghambarian12Department of Physics, University of ArizonaCollege of Optical Sciences, University of ArizonaCollege of Optical Sciences, University of ArizonaInstitute of Photonics, University of Eastern FinlandCollege of Optical Sciences, University of ArizonaInstitute of Photonics, University of Eastern FinlandSchool of Chemistry and Biochemistry, Georgia Institute of TechnologySchool of Chemistry and Biochemistry, Georgia Institute of TechnologySchool of Chemistry and Biochemistry, Georgia Institute of TechnologySchool of Chemistry and Biochemistry, Georgia Institute of TechnologySchool of Chemistry and Biochemistry, Georgia Institute of TechnologyCollege of Optical Sciences, University of ArizonaCollege of Optical Sciences, University of ArizonaTo circumvent the limitations of electronic computers, moving to hybrid optical-electronic or all-optical devices may be useful. Here, Babaeian et al. present an all-optical implementation of the probabilistic graphical model using nonlinear optics in thin films to implement mathematical functions.https://doi.org/10.1038/s41467-018-04578-x |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Masoud Babaeian Pierre-A. Blanche Robert A. Norwood Tommi Kaplas Patrick Keiffer Yuri Svirko Taylor G. Allen Vincent W. Chen San-Hui Chi Joseph W. Perry Seth R. Marder Mark A. Neifeld N. Peyghambarian |
| spellingShingle |
Masoud Babaeian Pierre-A. Blanche Robert A. Norwood Tommi Kaplas Patrick Keiffer Yuri Svirko Taylor G. Allen Vincent W. Chen San-Hui Chi Joseph W. Perry Seth R. Marder Mark A. Neifeld N. Peyghambarian Nonlinear optical components for all-optical probabilistic graphical model Nature Communications |
| author_facet |
Masoud Babaeian Pierre-A. Blanche Robert A. Norwood Tommi Kaplas Patrick Keiffer Yuri Svirko Taylor G. Allen Vincent W. Chen San-Hui Chi Joseph W. Perry Seth R. Marder Mark A. Neifeld N. Peyghambarian |
| author_sort |
Masoud Babaeian |
| title |
Nonlinear optical components for all-optical probabilistic graphical model |
| title_short |
Nonlinear optical components for all-optical probabilistic graphical model |
| title_full |
Nonlinear optical components for all-optical probabilistic graphical model |
| title_fullStr |
Nonlinear optical components for all-optical probabilistic graphical model |
| title_full_unstemmed |
Nonlinear optical components for all-optical probabilistic graphical model |
| title_sort |
nonlinear optical components for all-optical probabilistic graphical model |
| publisher |
Nature Publishing Group |
| series |
Nature Communications |
| issn |
2041-1723 |
| publishDate |
2018-05-01 |
| description |
To circumvent the limitations of electronic computers, moving to hybrid optical-electronic or all-optical devices may be useful. Here, Babaeian et al. present an all-optical implementation of the probabilistic graphical model using nonlinear optics in thin films to implement mathematical functions. |
| url |
https://doi.org/10.1038/s41467-018-04578-x |
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1721449260018302976 |