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2021
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Experimental characterization of Raman amplifier optimization through inverse system design

Moura, Uiara Celine de ; Da Ros, Francesco ; Brusin, Ann Margareth Rosa ; Carena, Andrea ; Zibar, Darko
in: Journal of Lightwave Technology, vol: 39, issue: 4, pages: 1162-1170

Type: Journal article (Peer reviewed)

Status: Published     |    Year: 2021     |    DOI: https://doi.org/10.1109/JLT.2020.3036603

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Experimental Investigation of Optoelectronic receiver with Reservoir Computing in Short Reach Optical Fiber Communications

Ranzini, Stenio M. ; Dischler, Roman ; Da Ros, Francesco ; Buelow, Henning ; Zibar, Darko
in: Journal of Lightwave Technology, vol: 39, issue: 8, pages: 2460-2467

Type: Journal article (Peer reviewed)

Status: Published     |    Year: 2021     |    DOI: https://doi.org/10.1109/JLT.2021.3049473

 

FEC-assisted Nonlinearity Compensation for Coherent Optical Receivers

Da Silva, Edson P. ; Yankov, Metodi P. ; Da Ros, Francesco
part of: Proceedings of 2021 SBFoton International Optics and Photonics Conference, 2021
Presented at:
2021 SBFoton International Optics and Photonics Conference

Type: Article in proceedings (Peer reviewed)

Status: Published     |    Year: 2021     |    DOI: https://doi.org/10.1109/SBFotonIOPC50774.2021.9461964

 

Generalization Properties of Machine Learning-based Raman Models

De Moura, U. C. ; Zibar, D. ; Rosa Brusin, A. M. ; Carena, A. ; Da Ros, F.
part of: Proceedings of 2021 Optical Fiber Communications Conference and Exhibition, 2021
Presented at:
2021 Optical Fiber Communications Conference and Exhibition

Type: Article in proceedings (Peer reviewed)

Status: Published     |    Year: 2021

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Gradient-free training of autoencoders for non-differentiable communication channels

Jovanovic, Ognjen ; Yankov, Metodi Plamenov ; Da Ros, Francesco ; Zibar, Darko
in: Journal of Lightwave Technology, vol: 39, issue: 20, pages: 6381-6391

Type: Journal article (Peer reviewed)

Status: Published     |    Year: 2021     |    DOI: https://doi.org/10.1109/JLT.2021.3103339

 

Inverse design of a Raman amplifier in frequency and distance domains using convolutional neural networks

Soltani, Mehran ; da Ros, Francesco ; Carena, Andrea ; Zibar, Darko
in: Optics Letters, vol: 46, issue: 11, pages: 2650-2653

Type: Journal article (Peer reviewed)

Status: Published     |    Year: 2021     |    DOI: https://doi.org/10.1364/OL.422884

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Machine learning aided carrier recovery in continuous-variable quantum key distribution

Chin, Hou Man ; Jain, Nitin ; Zibar, Darko ; Andersen, Ulrik L. ; Gehring, Tobias
in: npj Quantum Information, vol: 7, issue: 1

Type: Journal article (Peer reviewed)

Status: Published     |    Year: 2021     |    DOI: https://doi.org/10.1038/s41534-021-00361-x

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Machine-learning-based equalization for short-reach transmission: neural networks and reservoir computing

Da Ros, Francesco ; Magalhães Ranzini, Stenio ; Dischler, Roman ; Cem, Ali ; Aref, V. ; Bülow, H. ; Zibar, Darko
part of: Proceedings of SPIE, 2021
Presented at:
SPIE Photonics West 2021

Type: Article in proceedings (Peer reviewed)

Status: Published     |    Year: 2021     |    DOI: https://doi.org/10.1117/12.2583011

 

Multi-band programmable gain Raman amplifier for high-capacity optical networks

de Moura, U. C. ; Iqbal, M. A. ; Kamalian, M. ; Krzczanowicz, L. ; Da Ros, F. ; Rosa Brusin, A. M. ; Carena, A. ; Forysiak, W. ; Turitsyn, S. ; Zibar, D.
Presented at:
2021 IEEE Photonics Conference

Type: Conference abstract for conference (Peer reviewed)

Status: Published     |    Year: 2021     |    DOI: https://doi.org/10.1109/IPC48725.2021.9592938

 

Optimization of a Hybrid EDFA-Raman C plus L Band Amplifier through Neural-Network Models

Da Ros, F. ; de Moura, U. C. ; Luis, R. S. ; Rademacher, G. ; Puttnam, B. J. ; Brusin, A. M. Rosa ; Carena, A. ; Awaji, Y. ; Furukawa, H. ; Zibar, D.
part of: Proceedings of Optical Fiber Communication Conference 2021, 2021
Presented at:
2021 Optical Fiber Communications Conference and Exhibition

Type: Article in proceedings (Peer reviewed)

Status: Published     |    Year: 2021