Výsledky vyhledávání - "Sozos, Kostas"

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

Autor: Sozos, Kostas, Da Ros, Francesco, Yankov, Metodi P., Sarantoglou, George, Deligiannidis, Stavros, Mesaritakis, Charis, Bogris, Adonis

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 links. For this, we utilize recurrent filters implemented both through a

Externí odkaz: http://arxiv.org/abs/2406.16869

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Unconventional Computing based on Four Wave Mixing in Highly Nonlinear Waveguides

Autor: Sozos, Kostas, Deligiannidis, Stavros, Mesaritakis, Charis, Bogris, Adonis

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 fully analogue system for nonlinear signal processing directly in the opti

Externí odkaz: http://arxiv.org/abs/2402.09135

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Multichannel Nonlinear Equalization in Coherent WDM Systems based on Bi-directional Recurrent Neural Networks

Autor: Deligiannidis, Stavros, Bottrill, Kyle R. H., Sozos, Kostas, Mesaritakis, Charis, Petropoulos, Periklis, Bogris, Adonis

Kerr nonlinearity in the form of self- and cross-phase modulation imposes a fundamental limitation to the capacity of wavelength division multiplexed (WDM) optical communication systems. Digital back-propagation (DBP), that requires solving the inver

Externí odkaz: http://arxiv.org/abs/2307.11093

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Integrated Photonic Accelerator Based on Optical Spectrum Slicing for Convolutional Neural Networks

Autor: Tsirigotis, Aris, Sarantoglou, George, Deligiannidis, Stavros, Sozos, Kostas, Bogris, Adonis, Mesaritakis, Charis

In this work we numerically analyze a passive photonic integrated neuromorphic accelerator based on hardware-friendly optical spectrum slicing nodes. The proposed scheme can act as a fully analogue convolutional layer, preprocessing information direc

Externí odkaz: http://arxiv.org/abs/2303.10357

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Reservoir Computing based on Mutually Injected Phase Modulated Semiconductor Lasers as a monolithic integrated hardware accelerator

Autor: Sozos, Kostas, Mesaritakis, Charis, Bogris, Adonis

In this paper we propose and numerically study a neuromorphic computing scheme that applies delay-based reservoir computing in a laser system consisting of two mutually coupled phase modulated lasers. The scheme can be monolithic integrated in a stra

Externí odkaz: http://arxiv.org/abs/2105.11972

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Spatial Photonic Reservoir Computing based on Non-Linear Phase-to-Amplitude Conversion in Micro-Ring Resonators

Autor: Mesaritakis, Charis, Sozos, Kostas, Dermanis, Dimitris, Bogris, Adonis

Publikováno v: Optical Fiber Communication Conference (OFC) 2021

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. This approach delivers an all-optical, low-power neuromorphi

Externí odkaz: http://arxiv.org/abs/2101.04487

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