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20202026
most citedCompensation of Fiber Nonlinearities in Digital Coherent Systems Leveraging Long Short-Term Memory Neural Networks

125 citations · 388 across the 35 of their papers we have counts for

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Showing 2024Show all

6 papers · 1 filter

physics.optics2024

Experimental Investigation of a Recurrent Optical Spectrum Slicing Receiver for Intensity Modulation/Direct Detection systems using Programmable Photonics

Kostas Sozos, Francesco Da Ros, Metodi P. Yankov +4

In this paper, we experimentally validate our previous numerical works in recurrent optical spectrum slicing (ROSS) accelerators for dispersion compensation in high-speed IM/DD lin…

physics.optics2024★ 1 cited

Photonic Neuromorphic Accelerator for Convolutional Neural Networks based on an Integrated Reconfigurable Mesh

Aris Tsirigotis, Gerge Sarantoglou, Stavros Deligiannidis +5

In this work, we present and experimentally validate a passive photonic-integrated neuromorphic accelerator that uses a hardware-friendly optical spectrum slicing technique through…

physics.optics2024★ 5 cited

Photonic Neuromorphic Accelerators for Event-Based Imaging Flow Cytometry

Ioannis Tsilikas, Aris Tsirigotis, George Sarantoglou +5

In this work, we present experimental results of a high-speed label-free imaging cytometry system that seamlessly merges the high-capturing rate and data sparsity of an event-based…

cs.ET2024★ 4 cited

Pseudo-Random Generator based on a Photonic Neuromorphic Physical Unclonable Function

Dimitris Dermanis, Panagiotis Rizomiliotis, Adonis Bogris +1

In this work we provide numerical results concerning a silicon-on-insulator photonic neuromorphic circuit configured as a physical unclonable function. The proposed scheme is enhan…

physics.optics2024

Unconventional Computing based on Four Wave Mixing in Highly Nonlinear Waveguides

Kostas Sozos, Stavros Deligiannidis, Charis Mesaritakis +1

In this work we numerically analyze a photonic unconventional accelerator based on the four-wave mixing effect in highly nonlinear waveguides. The proposed scheme can act as a full…

physics.optics2024

All-Optical, Reconfigurable and Power Independent Neural Activation Function by Means of Phase Modulation

George Sarantoglou, Adonis Bogris, Charis Mesaritakis

In this work, we present numerical results concerning an integrated photonic non-linear activation function that relies on a power independent, non-linear phase to amplitude conver…