Five partners present their results in ECOC’2022

Between the 18th and the 22nd of September, Basel hosted ECOC’2022, the largest conference on optical communications in Europe. NEoteRIC had an important role in this conference through the participation of five partners of the project.

Prof. Jose Capmany, coordinator of the Project and Head of the Photonics Research Labs at the UPV, participated in the Symposium for « Optical Interconnect in Data Centres » to explain the promising application and functionality scenarios of Programmable Integrated Photonics for Edge and Cloud Data Centers.

Ph.D. candidate Jacqueline Geler-Kremer, from IBM Research−Europe, introduced to the audience the BaTiO3 Ferroelectric Multilevel Non-volatile Photonic Phase Shifter developed during the project, whereas Dr. Stefan Abel Co-CEO and founder at Lumiphase elucidated how Pockels effect will allow Photonic Integrated Chips to reach new performance levels, boosting their use in Communication.

Dr. Sarah Masaad, from Ghent University-IMEC, explained the use of Photonic reservoir computing as a promising processing solution for the equalization of fibre optic communication signals. She presented the results of a simulation of the nonlinear equalization of 64 Quadrature-Amplitude Modulated signals using a fully passive space multiplexed reservoir that deploys direct detection using the recently proposed Kramers-Kronig receiver.

Dr. Adonis Bogris (associate professor at the Department of Informatics and Computer Engineering at the University of West Attica), from his side, reviewed in an invited speech their recent work in machine learning and neuromorphic processing for the mitigation of transmission impairments at very high baud rates. It is with good reason that bidirectional recurrent neural networks and neuromorphic recurrent spectral slicers emerge as promising solutions for mid-term deployment in long-haul and short-reach communication systems respectively.

Finally, Menelaos Skontranis, PhD candidate at University of Aegean, presented the numerical results from a Spectro-temporal reservoir computing based on a Fabry-Perot laser. By exploiting longitudinal modes, tuneable real time processing rate could be achieved, reaching up to 2.38 GHz for an image classification task with elevated accuracy.

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