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
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Position-robust optronic convolutional neural networks dealing with images position variation
TL;DR: In this paper , the authors improved the original architecture and achieved position-robust optronic convolutional neural networks (PROPCNNs) with translation invariance through replacing strided convolution operation and fully connected operation with spectral pooling and global average pooling.
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Matrix eigenvalue solver based on reconfigurable photonic neural network
TL;DR: A feasible solution for the on-chip integrated photonic realization of eigenvalue solving of real-value symmetric matrices based on reconfigurable photonic neural networks is provided and lays the foundation for a new generation of intelligent on- chip integrated all-optical computing.
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A quantum router architecture for high-fidelity entanglement flows in quantum networks
TL;DR: In this article , a quantum router architecture comprising many quantum memories connected in a photonic switchboard is proposed to broker entanglement flows across quantum networks, and the rate and fidelity of entenglement distribution under this architecture are computed using an event-based simulator.
Posted ContentDOI
Low-loss Lithium Niobate on Insulator (LNOI) Waveguides of a 10 cm-length and a Sub-nanometer Surface Roughness
Rongbo Wu,Min Wang,Jian Xu,Jia Qi,Wei Chu,Zhiwei Fang,Jianhao Zhang,Junxia Zhou,Lingling Qiao,Zhifang Chai,Jintian Lin,Ya Cheng +11 more
TL;DR: In this paper, a technique for realizing lithium niobate on insulator (LNOI) waveguides of a multi-centimeter-length with a propagation loss as low as 0.027 dB/cm was developed.
Posted Content
Towards Single Atom Computing via High Harmonic Generation
Gerard McCaul,Denys I. Bondar +1 more
TL;DR: In this paper, a single-atom computer for classification problems is proposed, where parameters of the classification model are mapped to optical elements, and numerically demonstrate that this computer can successfully classify data with an accuracy that is strongly dependent on dynamical nonlinearities.
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