Three-dimensional waveguide interconnects for scalable integration of photonic neural networks - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Optica Année : 2020

Three-dimensional waveguide interconnects for scalable integration of photonic neural networks

Résumé

Photonic waveguides are prime candidates for integrated and parallel photonic interconnects. Such interconnects correspond to large-scale vector matrix products, which are at the heart of neural network computation. However, parallel interconnect circuits realized in two dimensions, for example by lithography, are strongly limited in size due to disadvantageous scaling. We use three dimensional (3D) printed photonic waveguides to overcome this limitation. 3D optical-couplers with fractal topology efficiently connect large numbers of input and output channels, and we show that the substrate's footprint area scales linearly. Going beyond simple couplers, we introduce functional circuits for discrete spatial filters identical to those used in deep convolutional neural networks.
Fichier principal
Vignette du fichier
87a65576-33cc-4e8d-81ab-3f77bc23f620-author.pdf (6.18 Mo) Télécharger le fichier
Origine : Fichiers éditeurs autorisés sur une archive ouverte

Dates et versions

hal-02993798 , version 1 (15-12-2020)

Identifiants

Citer

Johnny Moughames, Xavier Porte, Michael Thiel, Gwenn Ulliac, Maxime Jacquot, et al.. Three-dimensional waveguide interconnects for scalable integration of photonic neural networks. Optica, 2020, 7 (6), pp.640-646. ⟨10.1364/OPTICA.388205⟩. ⟨hal-02993798⟩
45 Consultations
39 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More