Photonic reservoir computing for wavelength multiplexed nonlinear fiber distortion mitigation
- Author
- Emmanuel Gooskens (UGent) , Stijn Sackesyn (UGent) , Sarah Masaad (UGent) , Joni Dambre (UGent) and Peter Bienstman (UGent)
- Organization
- Project
- Abstract
- We seek to improve nonlinear fiber distortion mitigation for wavelength multiplexed telecommunications in terms of both processing speed and energy efficiency. We propose a photonic reservoir computing hardware implementation maximizing the chip footprint to processing power ratio by employing a single readout for all wavelengths.
- Keywords
- OPTICAL FEEDBACK, PERFORMANCE, photonics, reservoir computing, signal equalization, wavelength division multiplexing
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-01HP79E0KS794Q1PREJG628X10
- MLA
- Gooskens, Emmanuel, et al. “Photonic Reservoir Computing for Wavelength Multiplexed Nonlinear Fiber Distortion Mitigation.” 2023 IEEE SILICON PHOTONICS CONFERENCE, SIPHOTONICS, IEEE, 2023, doi:10.1109/SIPHOTONICS55903.2023.10141896.
- APA
- Gooskens, E., Sackesyn, S., Masaad, S., Dambre, J., & Bienstman, P. (2023). Photonic reservoir computing for wavelength multiplexed nonlinear fiber distortion mitigation. 2023 IEEE SILICON PHOTONICS CONFERENCE, SIPHOTONICS. Presented at the IEEE Silicon Photonics Conference (SiPhotonics), Arlington, VA. https://doi.org/10.1109/SIPHOTONICS55903.2023.10141896
- Chicago author-date
- Gooskens, Emmanuel, Stijn Sackesyn, Sarah Masaad, Joni Dambre, and Peter Bienstman. 2023. “Photonic Reservoir Computing for Wavelength Multiplexed Nonlinear Fiber Distortion Mitigation.” In 2023 IEEE SILICON PHOTONICS CONFERENCE, SIPHOTONICS. IEEE. https://doi.org/10.1109/SIPHOTONICS55903.2023.10141896.
- Chicago author-date (all authors)
- Gooskens, Emmanuel, Stijn Sackesyn, Sarah Masaad, Joni Dambre, and Peter Bienstman. 2023. “Photonic Reservoir Computing for Wavelength Multiplexed Nonlinear Fiber Distortion Mitigation.” In 2023 IEEE SILICON PHOTONICS CONFERENCE, SIPHOTONICS. IEEE. doi:10.1109/SIPHOTONICS55903.2023.10141896.
- Vancouver
- 1.Gooskens E, Sackesyn S, Masaad S, Dambre J, Bienstman P. Photonic reservoir computing for wavelength multiplexed nonlinear fiber distortion mitigation. In: 2023 IEEE SILICON PHOTONICS CONFERENCE, SIPHOTONICS. IEEE; 2023.
- IEEE
- [1]E. Gooskens, S. Sackesyn, S. Masaad, J. Dambre, and P. Bienstman, “Photonic reservoir computing for wavelength multiplexed nonlinear fiber distortion mitigation,” in 2023 IEEE SILICON PHOTONICS CONFERENCE, SIPHOTONICS, Arlington, VA, 2023.
@inproceedings{01HP79E0KS794Q1PREJG628X10,
abstract = {{We seek to improve nonlinear fiber distortion mitigation for wavelength multiplexed telecommunications in terms of both processing speed and energy efficiency. We propose a photonic reservoir computing hardware implementation maximizing the chip footprint to processing power ratio by employing a single readout for all wavelengths.}},
author = {{Gooskens, Emmanuel and Sackesyn, Stijn and Masaad, Sarah and Dambre, Joni and Bienstman, Peter}},
booktitle = {{2023 IEEE SILICON PHOTONICS CONFERENCE, SIPHOTONICS}},
isbn = {{9781665486552}},
issn = {{1949-2081}},
keywords = {{OPTICAL FEEDBACK,PERFORMANCE,photonics,reservoir computing,signal equalization,wavelength division multiplexing}},
language = {{eng}},
location = {{Arlington, VA}},
pages = {{2}},
publisher = {{IEEE}},
title = {{Photonic reservoir computing for wavelength multiplexed nonlinear fiber distortion mitigation}},
url = {{http://doi.org/10.1109/SIPHOTONICS55903.2023.10141896}},
year = {{2023}},
}
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