https://doi.org/10.1051/epjconf/202328713007
Time-domain image processing using photonic reservoir computing
1 Institute of Science and Engineering, Kanazawa University Kakuma-machi Kanazawa, Ishikawa 920-1192, Japan
2 Graduate School of Natural Science and Technology, Kanazawa University, Kakuma-machi Kanazawa, Ishikawa 920-1192, Japan
* Corresponding author: sunada@se.kanazawa-u.ac.jp
Published online: 18 October 2023
Photonic computing has attracted much attention due to its great potential to accelerate artificial neural network operations. However, the processing of a large amount of data, such as image data, basically requires large-scale photonic circuits and is still challenging due to its low scalability of the photonic integration. Here, we propose a scalable image processing approach, which uses a temporal degree of freedom of photons. In the proposed approach, the spatial information of a target object is compressively transformed to a time-domain signal using a gigahertz-rate random pattern projection technique. The time-domain signal is optically acquired at a single-input channel and processed with a microcavity-based photonic reservoir computer. We experimentally demonstrate that this photonic approach is capable of image recognition at gigahertz rates.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
