posted on 2023-01-11, 22:26authored byWeipeng Zhang, Chaoran Huang, Hsuan-Tung Peng, Simon Bilodeau, Aashu Jha, Eric Blow, Thomas Ferreira De Lima, Bhavin J. Shastri, Paul Prucnal
Deep neural networks (DNN) consist of layers of neurons interconnected by synaptic weights. A high bit-precision in weights is generally required to guarantee high accuracy in many applications. Minimizing error accumulation between layers is also essential when building large-scale networks. Recent demonstrations of photonic neural networks are limited in bit-precision due to crosstalk and the high sensitivity of optical components (e.g., resonators). Here, we experimentally demonstrate a record-high precision of 9 bits with a dithering control scheme for photonic synapses. We then numerically simulated the impact with increased synaptic precision on a wireless signal classification application. This work could help realize the potential of photonic neural networks for many practical, real-world tasks.
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