Evidence map›Paper›PMID 29844343›Full record

ArticleNature communications2018

Nonlinear optical components for all-optical probabilistic graphical model.

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 and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Masoud BabaeianDepartment of Physics, University of Arizona, Tucson, AZ, 85721, USA. Babaeian@physics.arizona.edu.
Pierre-A BlancheCollege of Optical Sciences, University of Arizona, Tucson, AZ, 85721, USA.
Robert A NorwoodCollege of Optical Sciences, University of Arizona, Tucson, AZ, 85721, USA.
Tommi KaplasInstitute of Photonics, University of Eastern Finland, Joensuu, FI 80101, Finland.
Patrick KeifferCollege of Optical Sciences, University of Arizona, Tucson, AZ, 85721, USA.
Yuri SvirkoInstitute of Photonics, University of Eastern Finland, Joensuu, FI 80101, Finland.
Taylor G AllenSchool of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, GA, 30332, USA.
Vincent W ChenSchool of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, GA, 30332, USA.
San-Hui ChiSchool of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, GA, 30332, USA.
Joseph W PerrySchool of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, GA, 30332, USA.ORCID http://orcid.org/0000-0003-1101-7337
Seth R MarderSchool of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, GA, 30332, USA.
Mark A NeifeldCollege of Optical Sciences, University of Arizona, Tucson, AZ, 85721, USA.
N PeyghambarianCollege of Optical Sciences, University of Arizona, Tucson, AZ, 85721, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The probabilistic graphical models (PGMs) are tools that are used to compute probability distributions over large and complex interacting variables. They have applications in social networks, speech recognition, artificial intelligence, machine learning, and many more areas. Here, we present an all-optical implementation of a PGM through the sum-product message passing algorithm (SPMPA) governed by a wavelength multiplexing architecture. As a proof-of-concept, we demonstrate the use of optics to solve a two node graphical model governed by SPMPA and successfully map the message passing algorithm onto photonics operations. The essential mathematical functions required for this algorithm, including multiplication and division, are implemented using nonlinear optics in thin film materials. The multiplication and division are demonstrated through a logarithm-summation-exponentiation operation and a pump-probe saturation process, respectively. The fundamental bottlenecks for the scalability of the presented scheme are discussed as well.

Identifiers

PMID29844343
PMCPMC5974078

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.