Neuromorphic photonics circuit for efficient multichannel signal coding

Aida G. Zakoyan; Grigory S. Voronkov; Ekaterina A. Lopukhova; Ivan V. Stepanov; Elizaveta P. Grakhova; Ruslan V. Kutluyarov

doi:10.1117/12.3026590

6 September 2024 Neuromorphic photonics circuit for efficient multichannel signal coding

Aida G. Zakoyan, Grigory S. Voronkov, Ekaterina A. Lopukhova, Ivan V. Stepanov, Elizaveta P. Grakhova, Ruslan V. Kutluyarov

Author Affiliations +

Proceedings Volume 13168, Optical Technologies for Telecommunications 2023; 131681L (2024) https://doi.org/10.1117/12.3026590
Event: Optical Technologies for Telecommunications 2023, 2023, Kazan, Russian Federation

Abstract

This study presents a model of a fully connected neural network (NN) implemented on elements of integrated photonics, including the software implementation of this architecture. The main purpose was to compare the results of two NNs, for this reason the average correlation coefficient was calculated, which amounted to 0.9904. This indicates a high degree of similarity and accuracy between the model's performance on PC and photonics elements.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Aida G. Zakoyan, Grigory S. Voronkov, Ekaterina A. Lopukhova, Ivan V. Stepanov, Elizaveta P. Grakhova, and Ruslan V. Kutluyarov "Neuromorphic photonics circuit for efficient multichannel signal coding", Proc. SPIE 13168, Optical Technologies for Telecommunications 2023, 131681L (6 September 2024); https://doi.org/10.1117/12.3026590

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