Literature DB >> 24514991

Computing matrix inversion with optical networks.

Kan Wu, Cesare Soci, Perry Ping Shum, Nikolay I Zheludev.   

Abstract

With this paper we bring about a discussion on the computing potential of complex optical networks and provide experimental demonstration that an optical fiber network can be used as an analog processor to calculate matrix inversion. A 3x3 matrix is inverted as a proof-of-concept demonstration using a fiber network containing three nodes and operating at telecomm wavelength. For an NxN matrix, the overall solving time (including setting time of the matrix elements and calculation time of inversion) scales as O(N(2)), whereas matrix inversion by most advanced computer algorithms requires ~O(N(2.37)) computational time. For well-conditioned matrices, the error of the inversion performed optically is found to be around 3%, limited by the accuracy of measurement equipment.

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Year:  2014        PMID: 24514991     DOI: 10.1364/OE.22.000295

Source DB:  PubMed          Journal:  Opt Express        ISSN: 1094-4087            Impact factor:   3.894


  5 in total

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3.  Mathematical operations and equation solving with reconfigurable metadevices.

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4.  All-Optical Implementation of the Ant Colony Optimization Algorithm.

Authors:  Wenchao Hu; Kan Wu; Perry Ping Shum; Nikolay I Zheludev; Cesare Soci
Journal:  Sci Rep       Date:  2016-05-25       Impact factor: 4.379

5.  A single shot coherent Ising machine based on a network of injection-locked multicore fiber lasers.

Authors:  Masoud Babaeian; Dan T Nguyen; Veysi Demir; Mehmetcan Akbulut; Pierre-A Blanche; Yushi Kaneda; Saikat Guha; Mark A Neifeld; N Peyghambarian
Journal:  Nat Commun       Date:  2019-08-06       Impact factor: 14.919

  5 in total

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