125 citations · 398 across the 16 of their papers we have counts for
16 papers
Multichannel Nonlinear Equalization in Coherent WDM Systems based on Bi-directional Recurrent Neural Networks
Stavros Deligiannidis, Kyle R. H. Bottrill, Kostas Sozos +3
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 sy…
Integrated Photonic Accelerator Based on Optical Spectrum Slicing for Convolutional Neural Networks
Aris Tsirigotis, George Sarantoglou, Stavros Deligiannidis +3
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…
Linking distributed and integrated fiber-optic sensing
Daniel C. Bowden, Andreas Fichtner, Thomas Nikas +7
Distributed Acoustic Sensing (DAS) has become a popular method of observing seismic wavefields: backscattered pulses of light reveal strains or strain-rates at any location along a…
Time-Delayed Reservoir Computing Based on Dual-Waveband Quantum-Dot Spin-Polarized Vertical Cavity Surface-Emitting Laser
M. Skontranis, G. Sarantoglou, A. Bogris +1
In this work we present numerical results concerning a time-delayed reservoir computing scheme, where its single nonlinear node, is a Quantum-Dot spin polarized Vertical Cavity Sur…
High Speed Photonic Neuromorphic Computing Using Recurrent Optical Spectrum Slicing Neural Networks
K. Sozos, A. Bogris, P. Bienstman +3
Neuromorphic Computing implemented in photonic hardware is one of the most promising routes towards achieving machine learning processing at the picosecond scale, with minimum powe…
Sensitivity kernels for transmission fiber optics
Andreas Fichtner, Adonis Bogris, Daniel Bowden +6
Fiber-optic sensing technologies based on transmission offer an alternative to scattering-based Distributed Acoustic Sensing (DAS). Being able to interrogate fibers that are thousa…
Bayesian Photonic Accelerators for Energy Efficient and Noise Robust Neural Processing
George Sarantoglou, Adonis Bogris, Charis Mesaritakis +1
Artificial neural networks are efficient computing platforms inspired by the brain. Such platforms can tackle a vast area of real-life tasks ranging from image processing to langua…
Introduction to phase transmission fibre-optic sensing of seismic waves
Andreas Fichtner, Adonis Bogris, Thomas Nikas +6
This manuscript is concerned with phase changes of signals transmitted through deforming optical fibres. As a first result, it establishes an exact relation between observable phas…
Fast all-optical random number generator
Jiamin Zhao, Pu Li, Xing Zhang +5
We propose a simple and all-optical method for fast random number generation based on the laser mode hopping. Through periodically restarting a two-mode laser operating in the bist…
Microwave frequency dissemination systems as sensitive and low-cost interferometers for earthquake detection on commercially deployed fiber cables
Adonis Bogris, Christos Simos, Iraklis Simos +6
We experimentally demonstrate a microwave frequency dissemination system operating as a sensitive interferometric sensor of seismic waves on commercially deployed fiber networks in…
Reservoir Computing based on Mutually Injected Phase Modulated Semiconductor Lasers as a monolithic integrated hardware accelerator
Kostas Sozos, Charis Mesaritakis, Adonis Bogris
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 pha…
Performance and Complexity Analysis of bi-directional Recurrent Neural Network Models vs. Volterra Nonlinear Equalizers in Digital Coherent Systems
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 sys…
Spatial Photonic Reservoir Computing based on Non-Linear Phase-to-Amplitude Conversion in Micro-Ring Resonators
Charis Mesaritakis, Kostas Sozos, Dimitris Dermanis +1
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…
Unsupervised Image Classification Through Time-Multiplexed Photonic Multi-Layer Spiking Convolutional Neural Network
Menelaos Skontranis, George Sarantoglou, Stavros Deligiannidis +2
We present results of a deep photonic spiking convolutional neural network, based on two-section VCSELs, targeting image classification. Training is based on unsupervised spike-tim…
Fabry-Perot Lasers as Enablers for Parallel Reservoir Computing
Adonis Bogris, Charis Mesaritakis, Stavros Deligiannidis +1
We introduce the use of Fabry-Perot (FP) lasers as potential neuromorphic computing machines with parallel processing capabilities. With the use of optical injection between a mast…
Compensation of Fiber Nonlinearities in Digital Coherent Systems Leveraging Long Short-Term Memory Neural Networks
Stavros Deligiannidis, Adonis Bogris, Charis Mesaritakis +1
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 syste…