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Conferences > FiO > 2019 > JW3A > JW3A.73

Scalable Time-Multiplexed Optical Neural Networks based on Homodyne Detection

Ryan Hamerly, Liane Bernstein, Alex Sludds, Marin Soljačić, and Dirk Englund

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Abstract

We present an optical neural-network accelerator based on coherent (homodyne) detection that is scalable to large networks, and analyze the fundamental (quantum) and practical limits to its performance.

© 2019 The Author(s)

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