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Conferences > FiO > 2022 > FTh1B > FTh1B.3

One-Time Training That Transfers to Arbitrary Highly Faulty Optical Neural Networks

Sri Krishna Vadlamani, Ryan Hamerly, and Dirk Englund

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Abstract

We present a one-time error-aware software training technique that outputs matrices that produce near-ideal performance on any arbitrary highly faulty photonic neural network with hardware phase errors up to 5x larger than present-day fabrication tolerances.

© 2022 The Author(s)

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