European Training Network on Post-Digital Computing (Post-Digital)

Informations projet

POST-DIGITAL

N° de convention de subvention: 860360

DOI

10.3030/860360

Projet clôturé

Date de signature de la CE 27 Mars 2020

Date de début 1 Avril 2020

Date de fin 31 Mars 2024

Financé au titre de

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Coût total

€ 4 021 262,28

Contribution de l’UE

€ 4 021 262,28

Coordonné par

ASTON UNIVERSITY
United Kingdom

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

Documents, reports (23)

Report on final prototype of integrated neuromorphic system with integrated readout
Network applications of neuromorphic computing (OTAW3)
3rd year POST-DIGITAL workshop

3rd year POST-DIGITAL workshop

Report on the design of photonic- and electronic- based analogue computing

Report on the design of photonic- and electronic- based analogue computing.

Report on first prototype of integrated neuromorphic system with integrated readout
Open-to-all Workshop I (OTAW I) (details on courses provided and ESR attendance record)
Final report on publications and public engagement activities completed
POST-DIGITAL Mini-symposia: Progress online adaptation of conceptor-controlled neural networks
Open-to-all Workshop II (OTAW II) (details on courses provided and ESR attendance record)
Simulation-based evaluation of multi-reservoir design methodology for standard and advanced benchmarks
1st year POST-DIGITAL workshop and TSW I (details on courses provided)
POST-DIGITAL Mini-symposia: Design methodology for powerful hierarchical integrated analog computing systems
2nd year POST-DIGITAL workshop (details on courses provided and ESR attendance record)
Report on the characterization of the photonic- and electronic- based analogue computing implementations
Report on comparison of neuromorphic computation solutions, with respect to performance on standard tasks, speed, energy consumption and footprint.
Report on critical gaps in existing formal methods to capture computation in unconventional substrates
Final POST-DIGITAL workshop (details on courses provided and ESR attendance record)
Report on novel approaches (I) core formal ideas and demo implementations in simulation and (II) worked-out formalism and demo implementations in unconventional hardware
Interim report on publications and public engagement activities completed
"International Summer School on the topic of ""Novel Nonlinear Substrates for Neural Networks"""

International Summer School on the topic of “Novel Nonlinear Substrates for Neural Networks”

Simulation and experimental study of application of photonic reservoir computing to non-linear optical channel equalization
Report on the evaluation of the photonic- and electronic- based analogue computing implementations
POST-DIGITAL Mini-symposia: Integrated photonic reservoir computing for telecom applications

POST-DIGITAL Mini-symposia: Integrated photonic reservoir computing for telecom applications

Other (1)

15 Doctoral degrees awarded

Websites, patent fillings, videos etc. (1)

POST-DIGITAL website completed

POST-DIGITAL website completed

Publications

Peer reviewed articles (29)

Hands-on reservoir computing: a tutorial for practical implementation

Auteurs: Matteo Cucchi, Steven Abreu, Giuseppe Ciccone, Daniel Brunner and Hans Kleemann
Publié dans: Neuromorphic Computing and Engineering, Numéro Volume 2, Number 3, 2022, ISSN 2634-4386
Éditeur: IOP Publishing Ltd
DOI: 10.1088/2634-4386/ac7db7

Computational metrics and parameters of an injection-locked large area semiconductor laser for neural network computing

Auteurs: Anas Skalli, Xavier Porte, Nasibeh Haghighi, Stephan Reitzenstein, James A. Lott, and Daniel Brunner
Publié dans: Optical Materials Express, Numéro 21593930, 2022, ISSN 2159-3930
Éditeur: Optical Society of America
DOI: 10.1364/ome.451524

Integrated programmable spectral filter for frequency-multiplexed neuromorphic computers

Auteurs: TIGERS JONUZI, ALESSANDRO LUPO, MIGUEL C.SORIANO, SERGE MASSAR, J. D. DOMENÉCH
Publié dans: Optics Express, Numéro 31(12), 2023, Page(s) 19255-19265, ISSN 1094-4087
Éditeur: Optical Society of America
DOI: 10.1364/oe.489246

A complete, parallel and autonomous photonic neural network in a semiconductor multimode laser

Auteurs: Xavier Porte, Anas Skalli, Nasibeh Haghighi, Stephan Reitzenstein, James A Lott, Daniel Brunner
Publié dans: Journal of Physics: Photonics, Numéro 3/2, 2021, Page(s) 024017, ISSN 2515-7647
Éditeur: IOP Institute of Physics
DOI: 10.1088/2515-7647/abf6bd

Exploiting oscillatory dynamics of delay systems for reservoir computing

Auteurs: Mirko Goldmann; Ingo Fischer; Claudio R. Mirasso; Miguel C. Soriano
Publié dans: Chaos, Numéro 33, 2023, Page(s) 093139, ISSN 1089-7682
Éditeur: AIP Publishing
DOI: 10.1063/5.0156494

56 GBaud PAM-4 100 Km Transmission System With Photonic Processing Schemes

Auteurs: Irene Estébanez; Shi Li; Janek Schwind; Ingo Fischer; Stephan Pachnicke; Apostolos Argyris
Publié dans: Journal of Lightwave Technology, 2021, Page(s) 55 - 62, ISSN 0733-8724
Éditeur: Optical Society of America
DOI: 10.1109/jlt.2021.3117921

Photonic reservoir computing for nonlinear equalization of 64-QAM signals with a Kramers–Kronig receiver

Auteurs: Sarah Masaad, Emmanuel Gooskens , Stijn Sackesyn , Joni Dambre and Peter Bienstman
Publié dans: Nanophotonics, 2022, ISSN 2192-8606
Éditeur: De Gruyter
DOI: 10.1515/nanoph-2022-0426

High Speed Human Action Recognition using a Photonic Reservoir Computer

Auteurs: Enrico Picco, Piotr Antonik, Serge Massar
Publié dans: Neural Networks,, Numéro Volume 165,, 2023, Page(s) 662-675, ISSN 0893-6080
Éditeur: Pergamon Press Ltd.

Weak Kerr Nonlinearity Boosts the Performance of Frequency-Multiplexed Photonic Extreme Learning Machines: A Multifaceted Approach

Auteurs: Marina Zajnulina, Alessandro Lupo, Serge Massar
Publié dans: Optics Express, 2024, ISSN 1094-4087
Éditeur: Optical Society of America
DOI: 10.1364/oe.503279

Photonic neuromorphic computing using vertical cavity semiconductor lasers

Auteurs: Anas Skalli, Joshua Robertson, Dafydd Owen-Newns, Matej Hejda, Xavier Porte, Stephan Reitzenstein, Antonio Hurtado, D. Brunner
Publié dans: Optical Materials Express, Numéro 12, 2022, Page(s) 2395-2414, ISSN 2159-3930
Éditeur: Optical Society of America
DOI: 10.1364/ome.450926

Experimental implementation of a neural network optical channel equalizer in restricted hardware using pruning and quantization

Auteurs: Diego Argüello Ron, Pedro J. Freire, Jaroslaw E. Prilepsky, Morteza Kamalian-Kopae, Antonio Napoli, Sergei K. Turitsyn
Publié dans: Scientific Reports, Numéro 12, 2022, ISSN 2045-2322
Éditeur: Nature Publishing Group
DOI: 10.1038/s41598-022-12563-0

Information Processing Capacity of a Single-Node Reservoir Computer: An Experimental Evaluation

Auteurs: Benedikt Vettelschoss; André Röhm; Miguel C. Soriano
Publié dans: IEEE Transactions on Neural Networks and Learning Systems, Numéro Special Numéro on New Frontiers in Extremely Efficient Reservoir Computing, 2021, ISSN 2162-237X
Éditeur: IEEE Computational Intelligence Society
DOI: 10.1109/tnnls.2021.3116709

Online digital compensation of pump dithering induced phase and amplitude distortions in transmission links with cascaded fibre-optical parametric amplifiers

Auteurs: Long H. Nguyen, Sonia Boscolo, and Stylianos Sygletos
Publié dans: Opt. Express, Numéro 32, 2024, Page(s) 13467-13477, ISSN 1094-4087
Éditeur: Optical Society of America
DOI: 10.1364/oe.516840

Photonic extreme learning machine based on frequency multiplexing

Auteurs: Alessandro Lupo, Lorenz Butschek, and Serge Massar
Publié dans: Optics Express, Numéro Volume . 29,Numéro 18,, 2021, Page(s) p. 28257-28276, ISSN 1094-4087
Éditeur: Optical Society of America
DOI: 10.1364/oe.433535

Learn one size to infer all: Exploiting translational symmetries in delay-dynamical and spatio-temporal systems using scalable neural networks

Auteurs: Mirko Goldmann, Claudio R. Mirasso, Ingo Fischer, Miguel C. Soriano
Publié dans: PHYSICAL REVIEW E, Numéro Vol. 106, Iss. 4, 2022, ISSN 2470-0045
Éditeur: American Physical Society
DOI: 10.48550/arxiv.2111.03706

Photonic reservoir computer based on frequency multiplexing

Auteurs: Lorenz Butschek, Akram Akrout, Evangelia Dimitriadou, Alessandro Lupo, Marc Haelterman, Serge Massar
Publié dans: Optics Letters, Numéro Vol. 47, Numéro 4,, 2022, Page(s) pp. 782-785, ISSN 0146-9592
Éditeur: Optical Society of America
DOI: 10.1364/ol.451087

A photonics perspective on computing with physical substrates

Auteurs: S. Abreu, I. Boikov, M. Goldmann, T. Jonuzi, A. Lupo, S. Masaad, L. Nguyen, E. Picco, G. Pourcel, A. Skalli, L. Talandier, B. Vettelschoss, E.A. Vlieg, A. Argyris, P. Bienstman, D. Brunner, J. Dambre, L. Daudet, J.D. Domenech, I. Fischer, F. Horst, S. Massar, C.R. Mirasso, B.J. Offrein, A. Rossi, M.C. Soriano, S. Sygletos, S.K. Turitsyn
Publié dans: Reviews in Physics, Numéro 12, 2024, Page(s) 100093, ISSN 2405-4283
Éditeur: Elsevier B.V.
DOI: 10.1016/j.revip.2024.100093

Deep photonic reservoir computer based on frequency multiplexing with fully analog connection between layers

Auteurs: Alessandro Lupo, Enrico Picco, Marina Zajnulina, and Serge Massar
Publié dans: Optica, Numéro Vol. 10, Numéro 11,, 2023, Page(s) 1478-1485, ISSN 2334-2536
Éditeur: OPTICA Publishing Group
DOI: 10.1364/optica.489501

Photonic neuromorphic technologies in optical communications

Auteurs: Apostolos Argyris
Publié dans: Nanophotonics, Numéro Volume 11 Numéro 5, 2022, ISSN 2192-8606
Éditeur: De Gruyter
DOI: 10.1515/nanoph-2021-0578

Parallel Extreme Learning Machines Based on Frequency Multiplexing

Auteurs: Alessandro Lupo, Serge Massar
Publié dans: MDPI Applied Sciences, Numéro Volume 12, Numéro 1, Special Numéro Neuromorphic Photonics: Current Devices, Systems and Perspectives, 2021, Page(s) p. 214, ISSN 2076-3417
Éditeur: MDPI
DOI: 10.3390/app12010214

Is the Number of Trainable Parameters All That Actually Matters?

Auteurs: Chatelain, Amélie; Djeghri, Amine; Hesslow, Daniel; Launay, Julien; Poli, Iacopo
Publié dans: Proceedings of Machine Learning Research, Numéro 163, 2022, ISSN 2640-3498
Éditeur: MLR Press

Exploiting transient dynamics of a time-multiplexed reservoir to boost the system performance

Auteurs: Mirko Goldmann, Claudio R. Mirasso, Ingo Fischer, Miguel C. Soriano
Publié dans: 2021 International Joint Conference on Neural Networks (IJCNN), 2021, ISSN 2161-4407, ISBN 978-1-6654-3900-8
Éditeur: IEEE
DOI: 10.1109/ijcnn52387.2021.9534333

Nonlinear photonic dynamical systems for unconventional computing

Auteurs: Daniel Brunner; Laurent Larger; Miguel Cornelles Soriano
Publié dans: Nonlinear Theory and Its Applications, IEICE, Numéro 21854106, 2022, ISSN 2185-4106
Éditeur: jstage
DOI: 10.1587/nolta.13.26

Boolean learning under noise-perturbations in hardware neural networks

Auteurs: Louis Andreoli, Xavier Porte, Stéphane Chrétien, Maxime Jacquot, Laurent Larger, Daniel Brunner
Publié dans: Nanophotonics, Numéro 9/13, 2020, Page(s) 4139-4147, ISSN 2192-8614
Éditeur: De Gruyter
DOI: 10.1515/nanoph-2020-0171

Evanescent coupling of nonlinear integrated cavities for all-optical reservoir computing

Auteurs: I K Boikov, D Brunner, A De Rossi
Publié dans: New Journal of Physics, Numéro 25, 2023, Page(s) 093056, ISSN 1367-2630
Éditeur: Institute of Physics Publishing
DOI: 10.1088/1367-2630/acfba6

Analog information processing with time-multiplexed optoelectronic systems

Auteurs: Mirko Goldmann, Ingo Fischer, Miguel C. Cornelles-Soriano
Publié dans: Emerging Topics in Artificial Intelligence (ETAI) 2021, Numéro 11804, 118041X, 2022, ISSN 0277-786X
Éditeur: SPIE
DOI: 10.1117/12.2594151

Reducing Computational Complexity of Neural Networks in Optical Channel Equalization: From Concepts to Implementation

Auteurs: Pedro J. Freire, Antonio Napoli, Bernhard Spinnler, Michael Anderson, Diego Argüello Ron, Wolfgang Schairer, Thomas Bex, Nelson Costa, Sergei K. Turitsyn, Jaroslaw E. Prilepsky
Publié dans: Journal of Lightwave Technology, Numéro 41, 2024, Page(s) 4557-4581, ISSN 0733-8724
Éditeur: Optical Society of America
DOI: 10.1109/jlt.2023.3234327

Toward a formal theory for computing machines made out of whatever physics offers

Auteurs: Herbert Jaeger, Beatriz Noheda & Wilfred G. van der Wiel
Publié dans: Nature Communications, Numéro volume 14, Article number: 4911 (2023), 2023, ISSN 2041-1723
Éditeur: Nature Publishing Group

An Integrated Photorefractive Analog Matrix-Vector Multiplier for Machine Learning

Auteurs: Elger A. Vlieg,Lucas Talandier, Roger Dangel, Folkert Horst, Bert J. Offrein
Publié dans: Applied Sciences, Numéro 12(9), 2022, Page(s) 4226, ISSN 2076-3417
Éditeur: MDPI
DOI: 10.3390/app12094226

Conference proceedings (9)

The Demonstration of Photorefractive Synaptic Connections for an Integrated Photonic Crossbar Array

Auteurs: Elger A. Vlieg, Folkert Horst, Roger Dangel, Bert J. Offrein
Publié dans: 2023 Conference on Lasers and Electro-Optics Europe & European Quantum Electronics Conference (CLEO/Europe-EQEC), 2023, Page(s) 1-1
Éditeur: IEEE
DOI: 10.1109/cleo/europe-eqec57999.2023.10232391

Flow cytometry with event-based vision and spiking neuromorphic hardware

Auteurs: Steven Abreu, Muhammed Gouda, Alessio Lugnan, Peter Bienstman
Publié dans: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, Numéro pp. 4139-4147, 2023
Éditeur: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops

A complete, parallel, and autonomous photonic neural network in a semiconductor multimode laser

Auteurs: Anas Skalli, Javier Porte, Nasibeh Haghighi, Stephan Reitzenstein, James A. Lott, Daniel Brunner
Publié dans: Emerging Topics in Artificial Intelligence (ETAI) 2021, 2021
Éditeur: SPIE
DOI: 10.1117/12.2594646

Photonic co-processors in HPC: Using LightOn OPUs for Randomized Numerical Linear Algebra

Auteurs: Daniel Hesslow, Alessandro Cappelli, Igor Carron, Laurent Daudet, Raphael Lafargue, Kilian Muller, Ruben Ohana, Gustave Pariente, Iacopo Poli
Publié dans: 2021 IEEE Hot Chips 33 Symposium (HCS), 2022, Page(s) 1-9
Éditeur: IEEE
DOI: 10.1109/hcs52781.2021.9566948

What Language Model Architecture and Pretraining Objective Work Best for Zero-Shot Generalization?

Auteurs: Thomas Wang, Adam Roberts, Daniel Hesslow, Teven Le Scao, Hyung Won Chung, Iz Beltagy, Julien Launay, Colin Raffel
Publié dans: Proceedings of the 39 th International Conference on Machine Learning, 2022, ISSN 2640-3498
Éditeur: MLR press

Programmable photorefractive optical synapses in integrated photonics for neuromorphic computing

Auteurs: Elger A. Vlieg, Folkert Horst, Roger Dangel, and Bert J. Offrein
Publié dans: European Conference on Integrated Optics, 2023
Éditeur: University of Twente

Neural Network Computing using a Semiconductor Multimode Laser

Auteurs: Xavier Porte, Anas Skalli, Nasibeh Haghighi, Stephan Reitzenstein, James A. Lott, Daniel Brunner
Publié dans: OSA Nonlinear Optics 2021, 2022
Éditeur: Optica Publishing Group
DOI: 10.1364/nlo.2021.nth1a.2

Photonic photorefractive MAC accelerator for Machine Learning

Auteurs: Elger A. Vlieg, Roger Dangel, Folkert Horst, Bert J. Offrein
Publié dans: Photonics in Switching and Computing 2021, 2022
Éditeur: Optica Publishing Group
DOI: 10.1364/psc.2021.m2b.3

Motivation and Challenges for Applying Photonic Neuromorphic Computing Technologies

Auteurs: B.J. Offrein, E.A. Vlieg, F. Hermann, L. Carraria Martinotti, F. Horst
Publié dans: 2023 Conference on Lasers and Electro-Optics Europe & European Quantum Electronics Conference (CLEO/Europe-EQEC), 2023
Éditeur: IEEE
DOI: 10.1109/cleo/europe-eqec57999.2023.10232665

Other (13)

Concepts and Paradigms for Neuromorphic Programming

Auteurs: Steven Abreu
Publié dans: 2023
Éditeur: arxiv

Toward a formal theory for computing machines made out of whatever physics offers: extended version

Auteurs: Herbert Jaeger, Beatriz Noheda, Wilfred G. van der Wiel
Publié dans: 2023
Éditeur: ArXive
DOI: 10.48550/arxiv.2307.15408

Nonlinear integrated optical resonators for optical fibre data recovery

Auteurs: Ivan K. Boikov, Daniel Brunner, Alfredo De Rossi
Publié dans: 2024
Éditeur: ArXiv

Neuromorphic Intermediate Representation: A Unified Instruction Set for Interoperable Brain-Inspired Computing

Auteurs: Pedersen, Jens E.; Abreu, Steven; Jobst, Matthias; Lenz, Gregor; Fra, Vittorio; Bauer, Felix C.; Muir, Dylan R.; Zhou, Peng; Vogginger, Bernhard; Heckel, Kade; Urgese, Gianvito; Shankar, Sadasivan; Stewart, Terrence C.; Eshraghian, Jason K.; Sheik, Sadique
Publié dans: 2023
Éditeur: arXive
DOI: 10.48550/arxiv.2311.14641

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

Auteurs: Gouda, Muhammed; Abreu, Steven; Lugnan, Alessio; Bienstman, Peter
Publié dans: arxiv, Numéro 33, 2023
Éditeur: Arxiv
DOI: 10.48550/arxiv.2303.10632

Fully analog photonic deep Reservoir Computer based on frequency multiplexing.

Auteurs: A. Lupo, E. Picco, M. Zajnulina, S. Massar.
Publié dans: Arxiv, 2023
Éditeur: Arxiv
DOI: 10.48550/arxiv.2305.08892

Realization of Neural Network-based Optical Channel Equalizer in Restricted Hardware

Auteurs: Diego R. Arguello, Pedro J. Freire, Jaroslaw E. Prilepsky, Antonio Napoli, Morteza Kamalian-Kopae, Sergei K. Turitsyn
Publié dans: 2021
Éditeur: Arxiv

Direct coupling of nonlinear integrated cavities for all-optical reservoir computing

Auteurs: Ivan Boikov, Daniel Brunner, Alfredo De Rossi
Publié dans: 2023
Éditeur: ArXiv

Photonic processing for a 56 GBaud PAM-4 100 km Transmission System

Auteurs: Estébanez, Irene; Li, Shi; Schwind, Janek; Fischer, Ingo; Pachnicke, Stephan; Argyris, Apostolos
Publié dans: 2022
Éditeur: IFISC

Contrastive Embeddings for Neural Architectures

Auteurs: Daniel Hesslow & Iacopo Poli
Publié dans: 2021
Éditeur: Arxiv
DOI: 10.48550/arxiv.2102.04208

Efficient Optimisation of Physical Reservoir Computers using only a Delayed Input

Auteurs: Picco, Enrico; Jaurigue, Lina; Lüdge, Kathy; Massar, Serge
Publié dans: 2023
Éditeur: ArXiv
DOI: 10.48550/arxiv.2401.14371

Timescales: the choreography of classical and unconventional computing

Auteurs: Herbert Jaeger*, Francky Catthoor
Publié dans: 2023
Éditeur: arXiv
DOI: 10.48550/arxiv.2301.00893

Deep Photonic Reservoir Computer for Speech Recognition

Auteurs: Enrico Picco, Alessandro Lupo, Serge Massar
Publié dans: 2023
Éditeur: Arxiv
DOI: 10.48550/arxiv.2312.06558

Droits de propriété intellectuelle

Patent (1)

METHOD AND SYSTEM FOR MACHINE LEARNING USING OPTICAL DATA

Numéro de demande/publication: 21 305295
Date: 2021-03-11
Demandeur(s): LIGHT ON