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
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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
Logic synthesis for energy-efficient photonic integrated circuits
TL;DR: Two optimization techniques based on binary decision diagram, combiner elimination and coupler assignment, are proposed to improve the power efficiency for PICs to greatly reduce the optical power depletion and facilitate large-scale on-chip optical computation.
Journal ArticleDOI
Femto-Joule All-Optical Switching Using Epsilon-Near-Zero High-Mobility Conductive Oxide
Erwen Li,Alan X. Wang +1 more
TL;DR: In this article, the authors proposed a femto-joule level all-optical switch (AOS) using hybrid plasmonic-silicon waveguides driven by high mobility transparent conductive oxides (HMTCOs) such as cadmium oxide.
Journal ArticleDOI
Channel response-aware photonic neural network accelerators for high-speed inference through bandwidth-limited optics.
George Mourgias-Alexandris,Miltiadis Moralis-Pegios,Apostolos Tsakyridis,Nikolaos Passalis,Manos Kirtas,Anastasios Tefas,Tam Rutirawut,Frederic Y. Gardes,Nikos Pleros +8 more
TL;DR: A novel channel response-aware (CRA) DL architecture that can address the implementation challenges of high-speed compute rates on bandwidth-limited photonic devices by incorporating their frequency response into the training procedure is presented.
Peer ReviewDOI
Advances in lithium niobate photonics: development status and perspectives
Guanyu Chen,Nanxi Li,Jun Da Ng,Hong Lin Lin,Yanyan Zhou,Yuan Hsing Fu,Lennon Y. T. Lee,Yu Yu,Ai Qun Liu,Aaron J. Danner +9 more
TL;DR: Lithium niobate (LN) has experienced significant developments during past decades due to its versatile properties, especially its large electro-optic (EO) coefficient as discussed by the authors .
Journal ArticleDOI
Scalable spin-glass optical simulator
Davide Pierangeli,Davide Pierangeli,Mushegh Rafayelyan,Claudio Conti,Claudio Conti,Sylvain Gigan +5 more
TL;DR: In this paper, an optical scalable spin-glass simulator based on spatial light modulation and multiple light scattering is proposed and realized, which can accelerate the computation of the ground state of large spin networks with all-to-all random couplings.
References
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