PROgraMmable integrated photonic nEuromorphic and quanTum networks for High-speed imaging, communications and sEcUrity applicationS

Informazioni relative al progetto

PROMETHEUS

ID dell’accordo di sovvenzione: 101070195

DOI 10.3030/101070195

Data della firma CE 23 Giugno 2022

Data di avvio 1 Settembre 2022

Data di completamento 31 Agosto 2025

Finanziato da

• Digital, Industry and Space

Costo totale € 3 830 019,75

Contributo UE € 3 830 019,00

Coordinato da

IPRONICS PROGRAMMABLE PHOTONICS,SL
Spain

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Documents, reports (2)

First period report on exploitation and dissemination plans
Dissemination and Exploitation Strategy and Plan

Websites, patent fillings, videos etc. (2)

1st project press release
Project web site – to be continuously updated

Project website online

Pubblicazioni

Conference proceedings (7)

Physics-informed machine learning for programmable photonic circuits

Autori: Isidora Teofilovic, Darko Zibar, Francesco Da Ros
Pubblicato in: Machine Learning in Photonics, 2024
Editore: SPIE
DOI: 10.1117/12.3017656

Flow cytometry with event-based vision and spiking neuromorphic hardware

Autori: Abreu, S., Gouda, M., Lugnan, A., & Bienstman, P
Pubblicato in: In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023, ISSN 4138-4146
Editore: IEEE
DOI: 10.1109/CVPRW59228.2023.00435

Machine learning meets photonics

Autori: Francesco Da Ros, Metodi P Yankov, Darko Zibar
Pubblicato in: Proceedings Volume 12655, Emerging Topics in Artificial Intelligence (ETAI) 2023; 126550C (2023), 2023
Editore: SPIE
DOI: 10.1117/12.2676656

Towards on-chip demonstration of a high-dimensional quantum random number generator

Autori: Maddalena Genzini, Caterina Vigliar, Mujtaba Zahidy, Yunhong Ding, Siyan Zhou, Davide Bacco, Francesco Da Ros
Pubblicato in: Quantum Technologies 2024, 2024
Editore: SPIE
DOI: 10.1117/12.3017383

Thermal Crosstalk Modeling and Compensation for Programmable Photonic Processors

Autori: Ali Cem, David Sanchez-Jacome, Daniel Pérez-López and Francesco Da Ros
Pubblicato in: IEEE Photonic Society Conference, 2023
Editore: IEEE
DOI: 10.36227/techrxiv.23721036.v1

Neuromorphic computing by means of recurrent spectrum slicing for next generation high baud rate transmission systems

Autori: Adonis Bogris, Kostas Sozos, George Sarantoglou, Stavros Deligiannidis, Charis Mesaritakis
Pubblicato in: 2023 IEEE Photonics Society Summer Topicals Meeting Series (SUM), 2023, ISSN 2376-8614
Editore: IEEE
DOI: 10.5281/zenodo.11644076

Clustering and Classification of Fungal Cells and PMMA Microparticles: Unsupervised and Supervised Learning using K-Means, PCA, Logistic Regression and Spiking Neural Networks on Event-Based Cytometry Datasets

Autori: Muhammed Gouda, Steve Abreu, Peter Bienstman
Pubblicato in: 2024 24th International Conference on Transparent Optical Networks (ICTON), 2024
Editore: IEEE
DOI: 10.1109/ICTON62926.2024.10647743

Peer reviewed articles (6)

Emerging opportunities and challenges for the future of reservoir computing

Autori: Min Yan, Can Huang, Peter Bienstman, Peter Tino, Wei Lin, Jie Sun
Pubblicato in: Nature Communications, Numero 15, 2024, ISSN 2041-1723
Editore: Springer Science and Business Media LLC
DOI: 10.1038/s41467-024-45187-1

Surrogate gradient learning in spiking networks trained on event-based cytometry dataset

Autori: Muhammed Gouda, Steven Abreu, Peter Bienstman
Pubblicato in: Optics Express, Numero 32, 2024, ISSN 1094-4087
Editore: Optica Publishing Group
DOI: 10.1364/OE.518323

Unconventional Integrated Photonic Accelerators for High-Throughput Convolutional Neural Networks

Autori: Aris Tsirigotis, George Sarantoglou, Menelaos Skontranis, Stavros Deligiannidis, Kostas Sozos, Giannis Tsilikas, Dimitris Dermanis, Adonis Bogris , and Charis Mesaritakis
Pubblicato in: Intelligent Computing, 2023, ISSN 2771-5892
Editore: Open Access journal published in affiliation with Zhejiang Lab
DOI: 10.34133/icomputing.0032

Experimental Investigation of a Recurrent Optical Spectrum Slicing Receiver for Intensity Modulation/Direct Detection Systems Using Programmable Photonics

Autori: Kostas Sozos, Francesco Da Ros, Metodi P. Yankov, George Sarantoglou, Stavros Deligiannidis, Charis Mesaritakis, Adonis Bogris
Pubblicato in: Journal of Lightwave Technology, Numero 42, 2024, ISSN 0733-8724
Editore: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/JLT.2024.3430489

Multimode Fabry-Perot laser as a reservoir computing and extreme learning machine photonic accelerator

Autori: Menelaos Skontranis, George Sarantoglou, Kostas Sozos, Thomas Kamalakis, Charis Mesaritakis, and Adonis Bogris
Pubblicato in: Neuromorphic Computing and Engineering, 2023, ISSN 2634-4386
Editore: IOPSCIENCE
DOI: 10.1088/2634-4386/ad025b

A recurrent Gaussian quantum network for online processing of quantum time series

Autori: Robbe De Prins, Guy Van der Sande, Peter Bienstman
Pubblicato in: Scientific Reports, Numero 14, 2024, ISSN 2045-2322
Editore: Springer Science and Business Media LLC
DOI: 10.1038/s41598-024-61004-7

Other (3)

A Quantum Optical Recurrent Neural Network for Online Processing of Quantum Times Series

Autori: Robbe De Prins, Guy Van der Sande, Peter Bienstman
Pubblicato in: No journal title, 2023
Editore: ARXIV
DOI: 10.48550/arXiv.2306.00134

Training a spiking neural network on an event-based label-free flow cytometry dataset

Autori: Gouda, Muhammed; Abreu, Steven; Lugnan, Alessio; Bienstman, Peter
Pubblicato in: No journal title, 2023
DOI: 10.48550/arxiv.2303.10632

All-Optical, Reconfigurable and Power Independent Neural Activation Function by Means of Phase Modulation

Autori: George Sarantoglou, Adonis Bogris, Charis Mesaritakis
Pubblicato in: 2024
Editore: ARXIV
DOI: 10.48550/arXiv.2402.03778