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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Chip-Scale Reconfigurable Optical Full-Field Manipulation: Enabling a Compact Grooming Photonic Signal Processor
TL;DR: Waveshaper, a programmable optical processor providing a variety of optical filtering and switching functions, has attracted great attention in the past decade, especially in optical communications.
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Deep learning in optics and photonics for statistical inference, computing, and inverse design
TL;DR: A broad overview of the current state of this emerging symbiotic relationship between deep learning and optics/photonics can be found in this paper , where the approximation power of deep neural networks has been utilized to develop optics/photonic systems with unique capabilities, all the way from nanoantenna design to end-to-end optimization of computational imaging and sensing systems.
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Opportunities and Challenges for Large-Scale Phase-Change Material Integrated Electro-Photonics
TL;DR: In this paper , the authors argue that energy efficiency is a more critical parameter than the operating speed for programmable photonics, making PCMs an ideal candidate, as slow but energy-efficient and large index modulation can provide a better solution for ELSI photonics than fast but power-hungry, small index tuning methods.
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Reservoir computing based on a silicon microring and time multiplexing for binary and analog operations
TL;DR: In this paper, the authors proposed and validated an all-optical reservoir computing (RC) scheme based on a silicon microring (MR) and time multiplexing, where the input layer is encoded in the intensity of a pump beam, which is nonlinearly transferred to the free carrier concentration in the MR and imprinted on a secondary probe.
Journal ArticleDOI
Metastable Refractive Index Manipulation in Hydrogenated Amorphous Silicon for Reconfigurable Photonics
Mahir Asif Mohammed,Jimmy Melskens,Ripalta Stabile,Francesco Pagliano,Chenhui Li,Wilhelmus M. M. Kessels,Oded Raz +6 more
TL;DR: In this article, a light-induced 0.3% increase of the metastable refractive index of a •Si:H was shown to be reversible upon annealing over several cycles using a highly sensitive Fabry-Perot interferometric technique.
References
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