Wavelength dimension in waveguide-based photonic reservoir computing
- Author
- Emmanuel Gooskens (UGent) , Floris Laporte, Chonghuai Ma (UGent) , Stijn Sackesyn (UGent) , Joni Dambre (UGent) and Peter Bienstman (UGent)
- Organization
- Project
- Abstract
- Existing work on coherent photonic reservoir computing (PRC) mostly concentrates on single-wavelength solutions. In this paper, we discuss the opportunities and challenges related to exploiting the wavelength dimension in integrated photonic reservoir computing systems. Different strategies are presented to be able to process several wavelengths in parallel using the same readout. Additionally, we present multiwavelength training techniques that allow to increase the stable operating wavelength range by at least a factor of two. It is shown that a single-readout photonic reservoir system can perform with approximate to 0% BER on several WDM channels in parallel for bit-level tasks and nonlinear signal equalization. This even when taking manufacturing deviations and laser wavelength drift into account. (C) 2022 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement
- Keywords
- OPTICAL FEEDBACK, PERFORMANCE, IMPLEMENTATION, NODE
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-8759893
- MLA
- Gooskens, Emmanuel, et al. “Wavelength Dimension in Waveguide-Based Photonic Reservoir Computing.” OPTICS EXPRESS, vol. 30, no. 9, 2022, pp. 15634–47, doi:10.1364/OE.455774.
- APA
- Gooskens, E., Laporte, F., Ma, C., Sackesyn, S., Dambre, J., & Bienstman, P. (2022). Wavelength dimension in waveguide-based photonic reservoir computing. OPTICS EXPRESS, 30(9), 15634–15647. https://doi.org/10.1364/OE.455774
- Chicago author-date
- Gooskens, Emmanuel, Floris Laporte, Chonghuai Ma, Stijn Sackesyn, Joni Dambre, and Peter Bienstman. 2022. “Wavelength Dimension in Waveguide-Based Photonic Reservoir Computing.” OPTICS EXPRESS 30 (9): 15634–47. https://doi.org/10.1364/OE.455774.
- Chicago author-date (all authors)
- Gooskens, Emmanuel, Floris Laporte, Chonghuai Ma, Stijn Sackesyn, Joni Dambre, and Peter Bienstman. 2022. “Wavelength Dimension in Waveguide-Based Photonic Reservoir Computing.” OPTICS EXPRESS 30 (9): 15634–15647. doi:10.1364/OE.455774.
- Vancouver
- 1.Gooskens E, Laporte F, Ma C, Sackesyn S, Dambre J, Bienstman P. Wavelength dimension in waveguide-based photonic reservoir computing. OPTICS EXPRESS. 2022;30(9):15634–47.
- IEEE
- [1]E. Gooskens, F. Laporte, C. Ma, S. Sackesyn, J. Dambre, and P. Bienstman, “Wavelength dimension in waveguide-based photonic reservoir computing,” OPTICS EXPRESS, vol. 30, no. 9, pp. 15634–15647, 2022.
@article{8759893,
abstract = {{Existing work on coherent photonic reservoir computing (PRC) mostly concentrates on single-wavelength solutions. In this paper, we discuss the opportunities and challenges related to exploiting the wavelength dimension in integrated photonic reservoir computing systems. Different strategies are presented to be able to process several wavelengths in parallel using the same readout. Additionally, we present multiwavelength training techniques that allow to increase the stable operating wavelength range by at least a factor of two. It is shown that a single-readout photonic reservoir system can perform with approximate to 0% BER on several WDM channels in parallel for bit-level tasks and nonlinear signal equalization. This even when taking manufacturing deviations and laser wavelength drift into account. (C) 2022 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement}},
author = {{Gooskens, Emmanuel and Laporte, Floris and Ma, Chonghuai and Sackesyn, Stijn and Dambre, Joni and Bienstman, Peter}},
issn = {{1094-4087}},
journal = {{OPTICS EXPRESS}},
keywords = {{OPTICAL FEEDBACK,PERFORMANCE,IMPLEMENTATION,NODE}},
language = {{eng}},
number = {{9}},
pages = {{15634--15647}},
title = {{Wavelength dimension in waveguide-based photonic reservoir computing}},
url = {{http://dx.doi.org/10.1364/OE.455774}},
volume = {{30}},
year = {{2022}},
}
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