5 citations · 12 across the 22 of their papers we have counts for
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Sensitivity Comparison of Microwave-Frequency and Optical Fibre Interferometry Based on State-of-the-Art Components
Georgios Aias Karydis, Marco Fasano, Paola Parolari +3
We compare the sensitivity of fibre interferometers to vibrations using microwave oscillators and state of the art lasers over distances up to 70 km. High spectral purity lasers ou…
Spiking Photonic Neurons Based on Two-Section InP Quantum-Well Lasers Integrated on Silicon
Menelaos Skontranis, Benoit Charbonnier, Olivier Girard +2
In this work we experimentally investigate the spiking dynamics of two-section InP quantum-well lasers monolithically integrated on silicon. By appropriately tuning the electrical…
Per-Span Microwave Frequency Fiber Interferometry in Subsea Cables for Scalable Deep-Ocean Geophysical Monitoring
Georgios Aias Karydis, Nicolas L. Celli, David Craig +6
We demonstrate low-cost microwave frequency fibre interferometry for per-span monitoring of a 1,770 km operational subsea cable connecting Ireland and Iceland. Over four months, th…
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…
High-Speed Non-Volatile Barium Titanate Field Programmable Photonic Gate Array
Cristina Catalá-Lahoz, Jose Roberto Rausell-Campo, Daniel Pérez-López +10
Programmable integrated photonics aims to replicate the versatility of field-programmable gate arrays in the optical domain. However, scaling these systems has been prevented by th…
Programmable Optical Spectrum Shapers as Computing Primitives for Accelerating Convolutional Neural Networks
Georgios Moustakas, Adonis Bogris, Charis Mesaritakis
Photonic convolutional accelerators have emerged as low-energy alternatives to power-demanding digital convolutional neural networks, though they often face limitations in scalabil…
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…
Earthquake Distance and Magnitude Estimation via Calibrated Microwave Frequency Fiber Interferometry
Stavros Deligiannidis, Yuhan Wang, Christos Simos +5
We present a calibration framework for a Microwave Frequency Fiber Interferometer (MFFI) aimed at estimating earthquake distance and magnitude, with the long-term goal of enabling…
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…
A VCSEL based Photonic Neuromorphic Processor for Event-Based Imaging Flow Cytometry Applications
M. Skontranis, G. Moustakas, A. Bogris +1
This work presents an optical neuromorphic imaging and processing cytometry system that integrates an excitable VCSEL-based time-delayed (TD) extreme learning machine with an event…
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…
Neuromorphic Imaging Flow Cytometry combined with Adaptive Recurrent Spiking Neural Networks
Georgios Moustakas, Ioannis Tsilikas, Adonis Bogris +1
We present an experimental imaging flow cytometer using a 1 μs temporal resolution event-based CMOS camera, with data processed by adaptive feedforward and recurrent spiking neural…
Microwave Frequency Fiber Interferometry in Submarine Deployed Telecommunication Cables
A. Bogris, C. Simos, I. Simos +5
We operated a microwave frequency fiber interferometer in a telecommunication cable in the Ionian Sea, Greece, for two months. The capability of detecting undersea micro earthquake…
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…
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…
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…