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Authors: K.T Vandoorne, M. Fiers, D. Verstraeten, B. Schrauwen, J. Dambre, P. Bienstman
Title: Optical signal processing with a network of semiconductor optical amplifiers in the context of photonic reservoir computing
Format: International Conference Proceedings
Publication date: 1/2011
Journal/Conference/Book: SPIE Photonics West - OPTO
Editor/Publisher: Louay A. Eldada, El-Hang Lee, 
Volume(Issue): 7942 p.79420P
Location: San Francisco, United States
DOI: 10.1117/12.874165
Citations: 1 (Dimensions.ai - last update: 12/5/2024)
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Abstract

Photonic reservoir computing is a hardware implementation of the concept of reservoir computing which comes from the field of machine learning and artificial neural networks. This concept is very useful for solving all kinds of classification and recognition problems. Examples are time series prediction, speech and image recognition.
Reservoir computing often competes with the state-of-the-art. Dedicated photonic hardware would offer advantages in speed and power consumption. We show that a network of coupled semiconductor optical amplifiers can be used as a reservoir by using it on a benchmark isolated words recognition task. The results are comparable to existing software implementations and fabrication tolerances can actually improve the robustness.

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