no code implementations • 14 Feb 2024 • Kostas Sozos, Stavros Deligiannidis, Charis Mesaritakis, Adonis Bogris
In this work we numerically analyze a photonic unconventional accelerator based on the four-wave mixing effect in highly nonlinear waveguides.
no code implementations • 24 Jun 2023 • Stavros Deligiannidis, Kyle R. H. Bottrill, Kostas Sozos, Charis Mesaritakis, Periklis Petropoulos, Adonis Bogris
We compare the proposed digital algorithm to full-field DBP and to the single channel bi-RNN in order to reveal its merits with respect to both performance and complexity.
no code implementations • 3 Mar 2021 • Stavros Deligiannidis, Charis Mesaritakis, Adonis Bogris
We investigate the complexity and performance of recurrent neural network (RNN) models as post-processing units for the compensation of fibre nonlinearities in digital coherent systems carrying polarization multiplexed 16-QAM and 32-QAM signals.
no code implementations • 12 Jan 2021 • Charis Mesaritakis, Kostas Sozos, Dimitris Dermanis, Adonis Bogris
We present a photonic reservoir computing, relying on a non-linear phase-to-amplitude mapping process, able to classify in real-time multi-Gbaud time traces subject to transmission effects.
Optics Signal Processing
no code implementations • 4 May 2020 • Adonis Bogris, Charis Mesaritakis, Stavros Deligiannidis, Pu Li
We introduce the use of Fabry-Perot (FP) lasers as potential neuromorphic computing machines with parallel processing capabilities.
no code implementations • 31 Jan 2020 • Stavros Deligiannidis, Adonis Bogris, Charis Mesaritakis, Yannis Kopsinis
We introduce for the first time the utilization of Long short-term memory (LSTM) neural network architectures for the compensation of fiber nonlinearities in digital coherent systems.