55 citations · 89 across the 14 of their papers we have counts for
15 papers
Quantum-Secure Physical Unclonable Function enabled by Silicon Photonics Integrated Circuits
G. Sarantoglou, N. Tzekas, G. Moustakas +8
Physical Unclonable Functions (PUFs) are hardware security primitives whose inherent physical complexity can be exploited for secure authentication and cryptographic key generation…
Reconfigurable Silicon Photonics Extreme Learning Machine with Random Non-linearities as Neural Processor and Physical Unclonable Function
George Sarantoglou, Georgios Aias Karydis, Adonis Bogris +1
An alternative extreme learning machine -ELM- paradigm is presented exploiting random non-linearities -RN, named RN-ELM, instead of a conventional fixed node non-linearity. This me…
Recurrent Optical Spectrum Slicers as multi-λ processors for WDM optical equalization of IM/DD channels
Kostas Sozos, Francesco Da Ros, George Sarantoglou +2
We report recurrent optical spectrum slicers as multi-wavelength optical processors in dispersion impaired IM/DD transmission systems with the use of programmable photonics. We dem…
Integrated recurrent optical spectral slicer for equalization of 100-km C-band IM/DD transmission
I. Teofilovic, K. Sozos, H. Liu +10
A silicon-photonics recurrent spectral filter is designed, fabricated, and system tested to pro-vide optical pre-processing in a 32-GBd PAM-4 C-band transmission. Performance below…
Reconfigurable Integrated Photonic Chips as Dual-Purpose Neuromorphic Accelerators and Physical Unclonable Functions
George Sarantoglou, Francesco Da Ros, Kostas Sozos +2
In this work, we experimentally validate the dual use of a reconfigurable photonic integrated mesh as a neuromorphic accelerator, targeting signal equalization, and as a physical u…
Experimental Analysis of a Self-Coherent M-QAM Receiver by Means of Recurrent Optical Spectrum Slicing and Direct Detection
Kostas Sozos, Francesco Da Ros, Senior Member Optica +6
High order modulation formats constitute the most prominent way for increasing spectral efficiency in transmission systems. Coherent transceivers that support such higher order for…
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…
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…
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…
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…
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…
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…
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…
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…