collaborators

6 papers

physics.optics2026

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…

physics.optics2026

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…

physics.optics2025

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…

physics.optics2025

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…

physics.optics2025

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…

physics.optics2025

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…