JOURNAL ARTICLE

Computing matrix inversion with optical networks

Kan WuCesare SociPerry Ping ShumNikolay I. Zheludev

Year: 2014 Journal:   Optics Express Vol: 22 (1)Pages: 295-295   Publisher: Optica Publishing Group

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.

Keywords:

Metrics

30
Cited By
3.86
FWCI (Field Weighted Citation Impact)
16
Refs
0.93
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Neural Networks and Reservoir Computing
Physical Sciences →  Computer Science →  Artificial Intelligence
Optical Network Technologies
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Photonic and Optical Devices
Physical Sciences →  Engineering →  Electrical and Electronic Engineering

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