Ghent University Academic Bibliography

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Photonic reservoir computing for nonlinear equalization of 64-QAM signals with a Kramers-Kronig receiver

Sarah Masaad (UGent) , Emmanuel Gooskens (UGent) , Stijn Sackesyn (UGent) , Joni Dambre (UGent) and Peter Bienstman (UGent)

(2023) NANOPHOTONICS. 12(5). p.925-935
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Transfer learning for photonic delay-based reservoir computing to compensate parameter drift

Ian Bauwens, Krishan Harkhoe, Peter Bienstman (UGent) , Guy Verschaffelt and Guy Van der Sande

(2023) NANOPHOTONICS. 12(5). p.949-961
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Influence of the input signal's phase modulation on the performance of optical delay-based reservoir computing using semiconductor lasers

Ian Bauwens, Krishan Harkhoe, Peter Bienstman (UGent) , Guy Verschaffelt and Guy Van der Sande

(2022) OPTICS EXPRESS. 30(8). p.13434-13446
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Photonic reservoir computing for nonlinear equalization of 64-QAM signals with a Kramers-Kronig receiver

Sarah Masaad (UGent) , Emmanuel Gooskens (UGent) , Stijn Sackesyn (UGent) , Joni Dambre (UGent) and Peter Bienstman (UGent)

(2022) 2022 EUROPEAN CONFERENCE ON OPTICAL COMMUNICATION (ECOC).
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Phase modulation of the input signal improves performance of reservoir computing

Ian Bauwens, Krishan Harkhoe, Peter Bienstman (UGent) , Guy Verschaffelt and Guy Van der Sande

(2022) 2022 IEEE Photonics Conference (IPC).
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Using photonic reservoirs as preprocessors for deep neural networks

Ian Bauwens, Guy van der Sande, Peter Bienstman (UGent) and Guy Verschaffelt

(2022) FRONTIERS IN PHYSICS. 10.
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Programmable low-power consumption all-optical nonlinear activation functions using a micro-ring resonator with phase-change materials

Ziling Fu, Zhi Wang, Peter Bienstman (UGent) , Rui Jiang, Jian Wang and Chongqing Wu

(2022) OPTICS EXPRESS. 30(25). p.44943-44953
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High-speed photonic neuromorphic computing using recurrent optical spectrum slicing neural networks

Kostas Sozos, Adonis Bogris, Peter Bienstman (UGent) , George Sarantoglou, Stavros Deligiannidis and Charis Mesaritakis

(2022) COMMUNICATIONS ENGINEERING. 1.
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Wavelength dimension in waveguide-based photonic reservoir computing

Emmanuel Gooskens (UGent) , Floris Laporte, Chonghuai Ma (UGent) , Stijn Sackesyn (UGent) , Joni Dambre (UGent) and Peter Bienstman (UGent)

(2022) OPTICS EXPRESS. 30(9). p.15634-15647
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Rigorous dynamic model of a silicon ring resonator with phase change material for a neuromorphic node

Alessio Lugnan (UGent) , Santiago Garcia-Cuevas Carrillo, C. David Wright and Peter Bienstman (UGent)

(2022) OPTICS EXPRESS. 30(14). p.25177-25194

Academic Bibliography

Photonic reservoir computing for nonlinear equalization of 64-QAM signals with a Kramers-Kronig receiver

Transfer learning for photonic delay-based reservoir computing to compensate parameter drift

Influence of the input signal's phase modulation on the performance of optical delay-based reservoir computing using semiconductor lasers

Photonic reservoir computing for nonlinear equalization of 64-QAM signals with a Kramers-Kronig receiver

Phase modulation of the input signal improves performance of reservoir computing

Using photonic reservoirs as preprocessors for deep neural networks

Programmable low-power consumption all-optical nonlinear activation functions using a micro-ring resonator with phase-change materials

High-speed photonic neuromorphic computing using recurrent optical spectrum slicing neural networks

Wavelength dimension in waveguide-based photonic reservoir computing

Rigorous dynamic model of a silicon ring resonator with phase change material for a neuromorphic node

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