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Deep Neural Networks with Time-Domain Synthetic Photonic Lattices

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Date

2021

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Journal Title

Journal ISSN

Volume Title

Publisher

Institute of Electrical and Electronics Engineers Inc.

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Research Projects

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Abstract

Optical neural networks (ONN) attracts a lot of attention based on their potential to offer orders-of-magnitude faster performance and lower energy consumption compared to purely electronic systems. There are strong advances in processing of spatially- and frequency-encoded optical data [1]. However the ONN development for coherent manipulation of optical pulse trains remains an open challenge, which could lead to advances in communications and real-time data analysis.

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Citation

URI

https://dspace-test.anu.edu.au/handle/1885/733759382

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DevOps Pure Testing

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Type

Conference paper

Book Title

2021 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2021

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Publication

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DOI

10.1109/CLEO/Europe-EQEC52157.2021.9542271

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