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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Journal ArticleDOI
Monadic Pavlovian associative learning in a backpropagation-free photonic network
TL;DR: In this paper , the authors demonstrate a form of backpropagation-free associative learning using a single (or monadic) associative hardware element and demonstrate this on an integrated photonic platform using phase-change materials combined with on-chip cascaded directional couplers.
Journal ArticleDOI
Resource-efficient high-dimensional subspace teleportation with a quantum autoencoder
Hui Zhang,Ling-ling Wan,Tobias Haug,Wai-Keong Mok,Stefano Paesani,Yuzhi Shi,Hong Cai,Lip Ket Chin,Muhammad Faeyz Karim,Limin Xiao,Xianshu Luo,Feng Gao,Bin Dong,Syed M. Assad,M. S. Kim,A. Laing,Leong Chuan Kwek,Ai Qun Liu +17 more
TL;DR: This work uses a quantum autoencoder to reduce resource costs for quantum teleportation of subspaces in high-dimensional systems in a compress-teleport-decompress manner and reports the first demonstration with qutrits using an integrated photonic platform for future scalability.
Journal ArticleDOI
On the effect of the thermal cross-talk in a photonic feed-forward neural network based on silicon microresonators
TL;DR: In this paper , the authors demonstrate a two-layer feed-forward neural network based on cascaded of thermally controlled Mach-Zehnder interferometers and microring resonators.
Posted Content
Optical Neural Network Based on Synthetic Nonlinear Photonic Lattices.
TL;DR: In this paper, a synthetic photonic lattice based on coupled optical loops can be utilized as a neural network for processing of optical pulse sequences in time domain, and the optical system is trained to restore an initial shape of the pulse train from the signal distorted due to linear dispersion in a fiber-optic link.
Journal ArticleDOI
Leveraging AI in Photonics and Beyond
G. Alagappan,Jun Rong Ong,Zaifeng Yang,Thomas Y. L. Ang,Weijiang Zhao,Yang Jiang,Wenzu Zhang,Ching Eng Png +7 more
TL;DR: In this article , a review of the use of Artificial Intelligence (AI) in photonics modeling, simulation, and inverse design is presented, as well as other related research areas or topics governed by Maxwell's equations.
References
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