activity
20232025
most citedRoadmap on Neuromorphic Photonics

18 citations · 33 across the 7 of their papers we have counts for

collaborators

8 papers

physics.optics2025

A Segmented Heater-Driven, Low-Loss, Reconfigurable Photonic Phase-Change Material-Based Phase Shifter

Ranjeet Dwivedi, Agraj Yadav, Regis Orobtchouk +4

Phase-change material (PCM)-based non-volatile multilevel phase shifters are key components in photonic integrated circuits. Electrically, multiple phase levels can be encoded by c…

cs.ET2025★ 18 cited

Roadmap on Neuromorphic Photonics

Daniel Brunner, Bhavin J. Shastri, Mohammed A. Al Qadasi +147

This roadmap consolidates recent advances while exploring emerging applications, reflecting the remarkable diversity of hardware platforms, neuromorphic concepts, and implementatio…

physics.optics2024★ 11 cited

Braided interferometer mesh for robust photonic matrix-vector multiplications with non-ideal components

Federico Marchesin, Matěj Hejda, Tzamn Melendez Carmona +5

Matrix-vector multiplications (MVMs) are essential for a wide range of applications, particularly in modern machine learning and quantum computing. In photonics, there is growing i…

physics.optics2024

An Ultra-low-loss Compact Phase-Change Material-based Hybrid-mode Interferometer for Photonic Memories

Ranjeet Dwivedi, Fabio Pavanello, Regis Orobtchouk

We propose a novel hybrid mode interferometer (HMI) leveraging the interference of hybridized TE-TM modes in a silicon-on-insulator (SOI) waveguide integrated with a GeSe phase cha…

cs.ET2024

Invited: Neuromorphic architectures based on augmented silicon photonics platforms

Matěj Hejda, Federico Marchesin, George Papadimitriou +6

In this work, we discuss our vision for neuromorphic accelerators based on integrated photonics within the framework of the Horizon Europe NEUROPULS project. Augmented integrated p…

cs.ET2024★ 3 cited

The Impact of Feature Representation on the Accuracy of Photonic Neural Networks

Mauricio Gomes de Queiroz, Paul Jimenez, Raphael Cardoso +5

Photonic Neural Networks (PNNs) are gaining significant interest in the research community due to their potential for high parallelization, low latency, and energy efficiency. PNNs…

cs.CR2024

Complexity Assessment of Analog and Digital Security Primitives Signals Using the Disentropy of Autocorrelation

Paul Jimenez, Raphael Cardoso, Maurìcio Gomes de Queiroz +4

The study of regularity in signals can be of great importance, typically in medicine to analyse electrocardiogram (ECG) or electromyography (EMG) signals, but also in climate studi…

cs.CR2023★ 1 cited

Security layers and related services within the Horizon Europe NEUROPULS project

Fabio Pavanello, Cedric Marchand, Paul Jimenez +17

In the contemporary security landscape, the incorporation of photonics has emerged as a transformative force, unlocking a spectrum of possibilities to enhance the resilience and ef…