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

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

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

15 Doctoral degrees awarded

POST-DIGITAL website completed

Publications

Hands-on reservoir computing: a tutorial for practical implementation

Author(s): Matteo Cucchi, Steven Abreu, Giuseppe Ciccone, Daniel Brunner and Hans Kleemann
Published in: Neuromorphic Computing and Engineering, Issue Volume 2, Number 3, 2022, ISSN 2634-4386
Publisher: 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

Author(s): Anas Skalli, Xavier Porte, Nasibeh Haghighi, Stephan Reitzenstein, James A. Lott, and Daniel Brunner
Published in: Optical Materials Express, Issue 21593930, 2022, ISSN 2159-3930
Publisher: Optical Society of America
DOI: 10.1364/ome.451524

Integrated programmable spectral filter for frequency-multiplexed neuromorphic computers

Author(s): TIGERS JONUZI, ALESSANDRO LUPO, MIGUEL C.SORIANO, SERGE MASSAR, J. D. DOMENÉCH
Published in: Optics Express, Issue 31(12), 2023, Page(s) 19255-19265, ISSN 1094-4087
Publisher: Optical Society of America
DOI: 10.1364/oe.489246

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

Author(s): Xavier Porte, Anas Skalli, Nasibeh Haghighi, Stephan Reitzenstein, James A Lott, Daniel Brunner
Published in: Journal of Physics: Photonics, Issue 3/2, 2021, Page(s) 024017, ISSN 2515-7647
Publisher: IOP Institute of Physics
DOI: 10.1088/2515-7647/abf6bd

Exploiting oscillatory dynamics of delay systems for reservoir computing

Author(s): Mirko Goldmann; Ingo Fischer; Claudio R. Mirasso; Miguel C. Soriano
Published in: Chaos, Issue 33, 2023, Page(s) 093139, ISSN 1089-7682
Publisher: AIP Publishing
DOI: 10.1063/5.0156494

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

Author(s): Irene Estébanez; Shi Li; Janek Schwind; Ingo Fischer; Stephan Pachnicke; Apostolos Argyris
Published in: Journal of Lightwave Technology, 2021, Page(s) 55 - 62, ISSN 0733-8724
Publisher: 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

Author(s): Sarah Masaad, Emmanuel Gooskens , Stijn Sackesyn , Joni Dambre and Peter Bienstman
Published in: Nanophotonics, 2022, ISSN 2192-8606
Publisher: De Gruyter
DOI: 10.1515/nanoph-2022-0426

High Speed Human Action Recognition using a Photonic Reservoir Computer

Author(s): Enrico Picco, Piotr Antonik, Serge Massar
Published in: Neural Networks,, Issue Volume 165,, 2023, Page(s) 662-675, ISSN 0893-6080
Publisher: Pergamon Press Ltd.

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

Author(s): Marina Zajnulina, Alessandro Lupo, Serge Massar
Published in: Optics Express, 2024, ISSN 1094-4087
Publisher: Optical Society of America
DOI: 10.1364/oe.503279

Photonic neuromorphic computing using vertical cavity semiconductor lasers

Author(s): Anas Skalli, Joshua Robertson, Dafydd Owen-Newns, Matej Hejda, Xavier Porte, Stephan Reitzenstein, Antonio Hurtado, D. Brunner
Published in: Optical Materials Express, Issue 12, 2022, Page(s) 2395-2414, ISSN 2159-3930
Publisher: 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

Author(s): Diego Argüello Ron, Pedro J. Freire, Jaroslaw E. Prilepsky, Morteza Kamalian-Kopae, Antonio Napoli, Sergei K. Turitsyn
Published in: Scientific Reports, Issue 12, 2022, ISSN 2045-2322
Publisher: Nature Publishing Group
DOI: 10.1038/s41598-022-12563-0

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

Author(s): Benedikt Vettelschoss; André Röhm; Miguel C. Soriano
Published in: IEEE Transactions on Neural Networks and Learning Systems, Issue Special Issue on New Frontiers in Extremely Efficient Reservoir Computing, 2021, ISSN 2162-237X
Publisher: 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

Author(s): Long H. Nguyen, Sonia Boscolo, and Stylianos Sygletos
Published in: Opt. Express, Issue 32, 2024, Page(s) 13467-13477, ISSN 1094-4087
Publisher: Optical Society of America
DOI: 10.1364/oe.516840

Photonic extreme learning machine based on frequency multiplexing

Author(s): Alessandro Lupo, Lorenz Butschek, and Serge Massar
Published in: Optics Express, Issue Volume . 29,Issue 18,, 2021, Page(s) p. 28257-28276, ISSN 1094-4087
Publisher: 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

Author(s): Mirko Goldmann, Claudio R. Mirasso, Ingo Fischer, Miguel C. Soriano
Published in: PHYSICAL REVIEW E, Issue Vol. 106, Iss. 4, 2022, ISSN 2470-0045
Publisher: American Physical Society
DOI: 10.48550/arxiv.2111.03706

Photonic reservoir computer based on frequency multiplexing

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

A photonics perspective on computing with physical substrates

Author(s): 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
Published in: Reviews in Physics, Issue 12, 2024, Page(s) 100093, ISSN 2405-4283
Publisher: Elsevier B.V.
DOI: 10.1016/j.revip.2024.100093

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

Author(s): Alessandro Lupo, Enrico Picco, Marina Zajnulina, and Serge Massar
Published in: Optica, Issue Vol. 10, Issue 11,, 2023, Page(s) 1478-1485, ISSN 2334-2536
Publisher: OPTICA Publishing Group
DOI: 10.1364/optica.489501

Photonic neuromorphic technologies in optical communications

Author(s): Apostolos Argyris
Published in: Nanophotonics, Issue Volume 11 Issue 5, 2022, ISSN 2192-8606
Publisher: De Gruyter
DOI: 10.1515/nanoph-2021-0578

Parallel Extreme Learning Machines Based on Frequency Multiplexing

Author(s): Alessandro Lupo, Serge Massar
Published in: MDPI Applied Sciences, Issue Volume 12, Issue 1, Special Issue Neuromorphic Photonics: Current Devices, Systems and Perspectives, 2021, Page(s) p. 214, ISSN 2076-3417
Publisher: MDPI
DOI: 10.3390/app12010214

Is the Number of Trainable Parameters All That Actually Matters?

Author(s): Chatelain, Amélie; Djeghri, Amine; Hesslow, Daniel; Launay, Julien; Poli, Iacopo
Published in: Proceedings of Machine Learning Research, Issue 163, 2022, ISSN 2640-3498
Publisher: MLR Press

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

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

Nonlinear photonic dynamical systems for unconventional computing

Author(s): Daniel Brunner; Laurent Larger; Miguel Cornelles Soriano
Published in: Nonlinear Theory and Its Applications, IEICE, Issue 21854106, 2022, ISSN 2185-4106
Publisher: jstage
DOI: 10.1587/nolta.13.26

Boolean learning under noise-perturbations in hardware neural networks

Author(s): Louis Andreoli, Xavier Porte, Stéphane Chrétien, Maxime Jacquot, Laurent Larger, Daniel Brunner
Published in: Nanophotonics, Issue 9/13, 2020, Page(s) 4139-4147, ISSN 2192-8614
Publisher: De Gruyter
DOI: 10.1515/nanoph-2020-0171

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

Author(s): I K Boikov, D Brunner, A De Rossi
Published in: New Journal of Physics, Issue 25, 2023, Page(s) 093056, ISSN 1367-2630
Publisher: Institute of Physics Publishing
DOI: 10.1088/1367-2630/acfba6

Analog information processing with time-multiplexed optoelectronic systems

Author(s): Mirko Goldmann, Ingo Fischer, Miguel C. Cornelles-Soriano
Published in: Emerging Topics in Artificial Intelligence (ETAI) 2021, Issue 11804, 118041X, 2022, ISSN 0277-786X
Publisher: SPIE
DOI: 10.1117/12.2594151

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

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

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

Author(s): Herbert Jaeger, Beatriz Noheda & Wilfred G. van der Wiel
Published in: Nature Communications, Issue volume 14, Article number: 4911 (2023), 2023, ISSN 2041-1723
Publisher: Nature Publishing Group

An Integrated Photorefractive Analog Matrix-Vector Multiplier for Machine Learning

Author(s): Elger A. Vlieg,Lucas Talandier, Roger Dangel, Folkert Horst, Bert J. Offrein
Published in: Applied Sciences, Issue 12(9), 2022, Page(s) 4226, ISSN 2076-3417
Publisher: MDPI
DOI: 10.3390/app12094226

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

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

Flow cytometry with event-based vision and spiking neuromorphic hardware

Author(s): Steven Abreu, Muhammed Gouda, Alessio Lugnan, Peter Bienstman
Published in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, Issue pp. 4139-4147, 2023
Publisher: 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

Author(s): Anas Skalli, Javier Porte, Nasibeh Haghighi, Stephan Reitzenstein, James A. Lott, Daniel Brunner
Published in: Emerging Topics in Artificial Intelligence (ETAI) 2021, 2021
Publisher: SPIE
DOI: 10.1117/12.2594646

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

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

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

Author(s): Thomas Wang, Adam Roberts, Daniel Hesslow, Teven Le Scao, Hyung Won Chung, Iz Beltagy, Julien Launay, Colin Raffel
Published in: Proceedings of the 39 th International Conference on Machine Learning, 2022, ISSN 2640-3498
Publisher: MLR press

Programmable photorefractive optical synapses in integrated photonics for neuromorphic computing

Author(s): Elger A. Vlieg, Folkert Horst, Roger Dangel, and Bert J. Offrein
Published in: European Conference on Integrated Optics, 2023
Publisher: University of Twente

Neural Network Computing using a Semiconductor Multimode Laser

Author(s): Xavier Porte, Anas Skalli, Nasibeh Haghighi, Stephan Reitzenstein, James A. Lott, Daniel Brunner
Published in: OSA Nonlinear Optics 2021, 2022
Publisher: Optica Publishing Group
DOI: 10.1364/nlo.2021.nth1a.2

Photonic photorefractive MAC accelerator for Machine Learning

Author(s): Elger A. Vlieg, Roger Dangel, Folkert Horst, Bert J. Offrein
Published in: Photonics in Switching and Computing 2021, 2022
Publisher: Optica Publishing Group
DOI: 10.1364/psc.2021.m2b.3

Motivation and Challenges for Applying Photonic Neuromorphic Computing Technologies

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

Concepts and Paradigms for Neuromorphic Programming

Author(s): Steven Abreu
Published in: 2023
Publisher: arxiv

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

Author(s): Herbert Jaeger, Beatriz Noheda, Wilfred G. van der Wiel
Published in: 2023
Publisher: ArXive
DOI: 10.48550/arxiv.2307.15408

Nonlinear integrated optical resonators for optical fibre data recovery

Author(s): Ivan K. Boikov, Daniel Brunner, Alfredo De Rossi
Published in: 2024
Publisher: ArXiv

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

Author(s): 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
Published in: 2023
Publisher: arXive
DOI: 10.48550/arxiv.2311.14641

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

Author(s): Gouda, Muhammed; Abreu, Steven; Lugnan, Alessio; Bienstman, Peter
Published in: arxiv, Issue 33, 2023
Publisher: Arxiv
DOI: 10.48550/arxiv.2303.10632

Fully analog photonic deep Reservoir Computer based on frequency multiplexing.

Author(s): A. Lupo, E. Picco, M. Zajnulina, S. Massar.
Published in: Arxiv, 2023
Publisher: Arxiv
DOI: 10.48550/arxiv.2305.08892

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

Author(s): Diego R. Arguello, Pedro J. Freire, Jaroslaw E. Prilepsky, Antonio Napoli, Morteza Kamalian-Kopae, Sergei K. Turitsyn
Published in: 2021
Publisher: Arxiv

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

Author(s): Ivan Boikov, Daniel Brunner, Alfredo De Rossi
Published in: 2023
Publisher: ArXiv

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

Author(s): Estébanez, Irene; Li, Shi; Schwind, Janek; Fischer, Ingo; Pachnicke, Stephan; Argyris, Apostolos
Published in: 2022
Publisher: IFISC

Contrastive Embeddings for Neural Architectures

Author(s): Daniel Hesslow & Iacopo Poli
Published in: 2021
Publisher: Arxiv
DOI: 10.48550/arxiv.2102.04208

Efficient Optimisation of Physical Reservoir Computers using only a Delayed Input

Author(s): Picco, Enrico; Jaurigue, Lina; Lüdge, Kathy; Massar, Serge
Published in: 2023
Publisher: ArXiv
DOI: 10.48550/arxiv.2401.14371

Timescales: the choreography of classical and unconventional computing

Author(s): Herbert Jaeger*, Francky Catthoor
Published in: 2023
Publisher: arXiv
DOI: 10.48550/arxiv.2301.00893

Deep Photonic Reservoir Computer for Speech Recognition

Author(s): Enrico Picco, Alessandro Lupo, Serge Massar
Published in: 2023
Publisher: Arxiv
DOI: 10.48550/arxiv.2312.06558

Intellectual Property Rights

METHOD AND SYSTEM FOR MACHINE LEARNING USING OPTICAL DATA

Application/Publication number: 21 305295
Date: 2021-03-11
Applicant(s): LIGHT ON

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