Experimental results on nonlinear distortion compensation using photonic reservoir computing with a single set of weights for different wavelengths
- Author
- Emmanuel Gooskens, Stijn Sackesyn, Joni Dambre (UGent) and Peter Bienstman (UGent)
- Organization
- Project
-
- Wavelength Division Multiplexing in Photonic Reservoir Computing
- Neuro-augmented 112Gbaud CMOS plasmonic transceiver platform for Intra- and Inter-DCI applications
- NEuromorphic Reconfigurable Integrated photonic Circuits as artificial image processor
- Photonic enabled Petascale in-memory computing with Femtojoule energy consumption
- High-speed low-power neuromorphic photonic information processing with chaotic cavities
- Photonic Ising Machines
- Abstract
- Photonics-based computing approaches in combination with wavelength division multiplexing offer a potential solution to modern data and bandwidth needs. This paper experimentally takes an important step towards wavelength division multiplexing in an integrated waveguide-based photonic reservoir computing platform by using a single set of readout weights for up to at least 3 ITU-T channels to efficiently scale the data bandwidth when processing a nonlinear signal equalization task on a 28 Gbps modulated on-off keying signal. Using multiple-wavelength training, we obtain bit error rates well below that of the 1.5 x 10(-2) forward error correction limit at high fiber input powers of 18 dBm, which result in high nonlinear distortion. The results of the reservoir chip are compared to a tapped delay line filter and clearly show that the system performs nonlinear equalization. This was achieved using only limited post processing which in future work can be implemented in optical hardware as well.
- Keywords
- Multidisciplinary, OPTICAL FEEDBACK, PERFORMANCE
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-01HNMXEHS85CH06DGP2VKB6K3M
- MLA
- Gooskens, Emmanuel, et al. “Experimental Results on Nonlinear Distortion Compensation Using Photonic Reservoir Computing with a Single Set of Weights for Different Wavelengths.” SCIENTIFIC REPORTS, vol. 13, no. 1, 2023, doi:10.1038/s41598-023-48816-9.
- APA
- Gooskens, E., Sackesyn, S., Dambre, J., & Bienstman, P. (2023). Experimental results on nonlinear distortion compensation using photonic reservoir computing with a single set of weights for different wavelengths. SCIENTIFIC REPORTS, 13(1). https://doi.org/10.1038/s41598-023-48816-9
- Chicago author-date
- Gooskens, Emmanuel, Stijn Sackesyn, Joni Dambre, and Peter Bienstman. 2023. “Experimental Results on Nonlinear Distortion Compensation Using Photonic Reservoir Computing with a Single Set of Weights for Different Wavelengths.” SCIENTIFIC REPORTS 13 (1). https://doi.org/10.1038/s41598-023-48816-9.
- Chicago author-date (all authors)
- Gooskens, Emmanuel, Stijn Sackesyn, Joni Dambre, and Peter Bienstman. 2023. “Experimental Results on Nonlinear Distortion Compensation Using Photonic Reservoir Computing with a Single Set of Weights for Different Wavelengths.” SCIENTIFIC REPORTS 13 (1). doi:10.1038/s41598-023-48816-9.
- Vancouver
- 1.Gooskens E, Sackesyn S, Dambre J, Bienstman P. Experimental results on nonlinear distortion compensation using photonic reservoir computing with a single set of weights for different wavelengths. SCIENTIFIC REPORTS. 2023;13(1).
- IEEE
- [1]E. Gooskens, S. Sackesyn, J. Dambre, and P. Bienstman, “Experimental results on nonlinear distortion compensation using photonic reservoir computing with a single set of weights for different wavelengths,” SCIENTIFIC REPORTS, vol. 13, no. 1, 2023.
@article{01HNMXEHS85CH06DGP2VKB6K3M,
abstract = {{Photonics-based computing approaches in combination with wavelength division multiplexing offer a potential solution to modern data and bandwidth needs. This paper experimentally takes an important step towards wavelength division multiplexing in an integrated waveguide-based photonic reservoir computing platform by using a single set of readout weights for up to at least 3 ITU-T channels to efficiently scale the data bandwidth when processing a nonlinear signal equalization task on a 28 Gbps modulated on-off keying signal. Using multiple-wavelength training, we obtain bit error rates well below that of the 1.5 x 10(-2) forward error correction limit at high fiber input powers of 18 dBm, which result in high nonlinear distortion. The results of the reservoir chip are compared to a tapped delay line filter and clearly show that the system performs nonlinear equalization. This was achieved using only limited post processing which in future work can be implemented in optical hardware as well.}},
articleno = {{21399}},
author = {{Gooskens, Emmanuel and Sackesyn, Stijn and Dambre, Joni and Bienstman, Peter}},
issn = {{2045-2322}},
journal = {{SCIENTIFIC REPORTS}},
keywords = {{Multidisciplinary,OPTICAL FEEDBACK,PERFORMANCE}},
language = {{eng}},
number = {{1}},
pages = {{7}},
title = {{Experimental results on nonlinear distortion compensation using photonic reservoir computing with a single set of weights for different wavelengths}},
url = {{http://doi.org/10.1038/s41598-023-48816-9}},
volume = {{13}},
year = {{2023}},
}
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