Deep learning with coherent nanophotonic circuits
Yichen Shen,Nicholas C. Harris,Scott Skirlo,Dirk Englund,Marin Soljacic +4 more
- Vol. 11, Iss: 7, pp 441-446
TLDR
A new architecture for a fully optical neural network is demonstrated that enables a computational speed enhancement of at least two orders of magnitude and three order of magnitude in power efficiency over state-of-the-art electronics.Abstract:
Artificial Neural Networks have dramatically improved performance for many machine learning tasks. We demonstrate a new architecture for a fully optical neural network that enables a computational speed enhancement of at least two orders of magnitude and three orders of magnitude in power efficiency over state-of-the-art electronics.read more
Citations
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Proceedings ArticleDOI
Training Noise-Resilient Recurrent Photonic Networks for Financial Time Series Analysis
Nikos Passalis,Manos Kirtas,George Mourgias-Alexandris,George Dabos,Nikos Pleros,Anastasios Tefas +5 more
TL;DR: In this article, the authors proposed a noise-aware approach for training neural networks realized on photonic hardware, which can alleviate some of the limitations that hinders its application, including the need to re-train DL models in order to be compliant with the underlying hardware architecture, as well as the existence of various noise sources.
Journal ArticleDOI
On-chip silicon shallowly etched TM 0 -to-TM 1 mode-order converter with high conversion efficiency and low modal crosstalk
TL;DR: In this paper, the authors proposed an on-chip silicon device with shallowly etched rectangular slots on the top surface of silicon nanowire for mode-division-multiplexing (MDM) transmission.
Journal ArticleDOI
Nonlinear germanium-silicon photodiode for activation and monitoring in photonic neuromorphic networks
TL;DR: In this paper , a self-monitored all-optical neural network was proposed for object classification and semantic segmentation tasks, which achieved a high accuracy of 97.3%.
Proceedings ArticleDOI
Silicon photonics integration technologies for future computing systems
Stefan Abel,Folkert Horst,Pascal Stark,Roger Dangel,Felix Eltes,Yannick Baumgartner,Jean Fompeyrine,Bert Jan Offrein +7 more
TL;DR: Two examples of integrated photonics technology are discussed; integrated photonic non-volatile optical weights and a photonicNonvolatile memory based analog accelerator for the inference and training of deep neural networks.
Posted Content
Analog Computing with Metatronic Circuits.
Mario Miscuglio,Yaliang Gui,Xiaoxuan Ma,Shuai Sun,Tarek El-Ghazawi,Tatsuo Itoh,Andrea Alù,Volker J. Sorger +7 more
TL;DR: A nanophotonic platform based on epsilon-near-zero materials capable of solving in the analog domain partial differential equations (PDE) and the possibility of implementing the proposed nano-optic processor using CMOS-compatible indium-tin-oxide, whose optical properties can be tuned by carrier injection to obtain programmability at high speeds and low energy requirements is explored.
References
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