| Issue |
EPJ Web Conf.
Volume 287, 2023
EOS Annual Meeting (EOSAM 2023)
|
|
|---|---|---|
| Article Number | 13009 | |
| Number of page(s) | 2 | |
| Section | Focused Sessions (FS) 4- Machine Learning and Photonic Artificial Intelligence / Optical Neural Networks and Neuromorphic Computing | |
| DOI | https://doi.org/10.1051/epjconf/202328713009 | |
| Published online | 18 October 2023 | |
https://doi.org/10.1051/epjconf/202328713009
Study of the C-band dynamical response of an injection locked LA-EEL for fully integrated telecommunication data processing
1 FEMTO-ST/Optics Department, UMR CNRS 6174, Université Bourgogne Franche-Comté, 15B avenue 10 des Montboucons, 25030 Besançon Cedex, France
2 Now with: Institute of Photonics, Department of Physics, University of Strathclyde, Glasgow G1 1RD, UK
* Corresponding authors: romain.lance@femto-st.fr, anas.skalli@femto-st.fr, javier.porte@femto-st.fr, daniel.brunner@femto-st.fr
Published online: 18 October 2023
A high-performance photonic reservoir, which utilizes the injection locking effect in a highly multimodal semiconductor laser, has been developed. This innovative design allows for fully parallel and high-bandwidth operation. The output of this system is projected in space and imaged onto a digital micromirror device, which provides a readout and facilitates the hardware integration of programmable output weights. By using a highly multimodal semiconductor laser, the injection locking effect enables a large number of modes to be simultaneously locked to the injected signal, resulting in high dimensionality of the reservoir, reducing the computational time and complexity. The use of a digital micromirror device provides a flexible readout, allowing the output to be programmed to suit a range of applications. The hardware integration of programmable output weights enables the system to be optimized for specific tasks, improving performance and reducing power consumption.
© The Authors, published by EDP Sciences, 2023
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