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

Resultado final

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)
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)
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 critical gaps in existing formal methods to capture computation in unconventional substrates
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”

POST-DIGITAL website completed

Publicaciones

Hands-on reservoir computing: a tutorial for practical implementation

Autores: Matteo Cucchi, Steven Abreu, Giuseppe Ciccone, Daniel Brunner and Hans Kleemann
Publicado en: Neuromorphic Computing and Engineering, Edición Volume 2, Number 3, 2022, ISSN 2634-4386
Editor: 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

Autores: Anas Skalli, Xavier Porte, Nasibeh Haghighi, Stephan Reitzenstein, James A. Lott, and Daniel Brunner
Publicado en: Optical Materials Express, Edición 21593930, 2022, ISSN 2159-3930
Editor: Optical Society of America
DOI: 10.1364/ome.451524

Integrated programmable spectral filter for frequency-multiplexed neuromorphic computers

Autores: TIGERS JONUZI, ALESSANDRO LUPO, MIGUEL C.SORIANO, SERGE MASSAR, J. D. DOMENÉCH
Publicado en: Optics Express, Edición 31(12), 2023, Página(s) 19255-19265, ISSN 1094-4087
Editor: Optical Society of America
DOI: 10.1364/oe.489246

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

Autores: I K Boikov; D Brunner; A De Rossi
Publicado en: New Journal of Physics, Edición Volume 25, 2023, ISSN 1367-2630
Editor: Institute of Physics Publishing
DOI: 10.1088/1367-2630/acfba6

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

Autores: Xavier Porte, Anas Skalli, Nasibeh Haghighi, Stephan Reitzenstein, James A Lott, Daniel Brunner
Publicado en: Journal of Physics: Photonics, Edición 3/2, 2021, Página(s) 024017, ISSN 2515-7647
Editor: IOP Institute of Physics
DOI: 10.1088/2515-7647/abf6bd

Exploiting oscillatory dynamics of delay systems for reservoir computing

Autores: Mirko Goldmann; Ingo Fischer; Claudio R. Mirasso; Miguel C. Soriano
Publicado en: Chaos, Edición 33, 2023, Página(s) 093139, ISSN 1089-7682
Editor: AIP Publishing
DOI: 10.1063/5.0156494

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

Autores: Irene Estébanez; Shi Li; Janek Schwind; Ingo Fischer; Stephan Pachnicke; Apostolos Argyris
Publicado en: Journal of Lightwave Technology, 2021, Página(s) 55 - 62, ISSN 0733-8724
Editor: 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

Autores: Sarah Masaad, Emmanuel Gooskens , Stijn Sackesyn , Joni Dambre and Peter Bienstman
Publicado en: Nanophotonics, 2022, ISSN 2192-8606
Editor: De Gruyter
DOI: 10.1515/nanoph-2022-0426

High Speed Human Action Recognition using a Photonic Reservoir Computer

Autores: Enrico Picco, Piotr Antonik, Serge Massar
Publicado en: Neural Networks,, Edición Volume 165,, 2023, Página(s) 662-675, ISSN 0893-6080
Editor: Pergamon Press Ltd.

Photonic neuromorphic computing using vertical cavity semiconductor lasers

Autores: Anas Skalli, Joshua Robertson, Dafydd Owen-Newns, Matej Hejda, Xavier Porte, Stephan Reitzenstein, Antonio Hurtado, D. Brunner
Publicado en: Optical Materials Express, Edición 12, 2022, Página(s) 2395-2414, ISSN 2159-3930
Editor: Optical Society of America
DOI: 10.1364/ome.450926

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

Autores: Long H. Nguyen; Sonia Boscolo; Stylianos Sygletos
Publicado en: Optics Express, Edición 32, 2024, Página(s) 13467-13477, ISSN 1094-4087
Editor: Optical Society of America
DOI: 10.1364/oe.516840

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

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

Photonic extreme learning machine based on frequency multiplexing

Autores: Alessandro Lupo, Lorenz Butschek, and Serge Massar
Publicado en: Optics Express, Edición Volume . 29,Edición 18,, 2021, Página(s) p. 28257-28276, ISSN 1094-4087
Editor: 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

Autores: Mirko Goldmann, Claudio R. Mirasso, Ingo Fischer, Miguel C. Soriano
Publicado en: PHYSICAL REVIEW E, Edición Vol. 106, Iss. 4, 2022, ISSN 2470-0045
Editor: American Physical Society
DOI: 10.48550/arxiv.2111.03706

Photonic reservoir computer based on frequency multiplexing

Autores: Lorenz Butschek, Akram Akrout, Evangelia Dimitriadou, Alessandro Lupo, Marc Haelterman, Serge Massar
Publicado en: Optics Letters, Edición Vol. 47, Edición 4,, 2022, Página(s) pp. 782-785, ISSN 0146-9592
Editor: Optical Society of America
DOI: 10.1364/ol.451087

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

Autores: Alessandro Lupo, Enrico Picco, Marina Zajnulina, and Serge Massar
Publicado en: Optica, Edición Vol. 10, Edición 11,, 2023, Página(s) 1478-1485, ISSN 2334-2536
Editor: OPTICA Publishing Group
DOI: 10.1364/optica.489501

Photonic neuromorphic technologies in optical communications

Autores: Apostolos Argyris
Publicado en: Nanophotonics, Edición Volume 11 Edición 5, 2022, ISSN 2192-8606
Editor: De Gruyter
DOI: 10.1515/nanoph-2021-0578

Parallel Extreme Learning Machines Based on Frequency Multiplexing

Autores: Alessandro Lupo, Serge Massar
Publicado en: MDPI Applied Sciences, Edición Volume 12, Edición 1, Special Edición Neuromorphic Photonics: Current Devices, Systems and Perspectives, 2021, Página(s) p. 214, ISSN 2076-3417
Editor: MDPI
DOI: 10.3390/app12010214

Nonlinear photonic dynamical systems for unconventional computing

Autores: Daniel Brunner; Laurent Larger; Miguel Cornelles Soriano
Publicado en: Nonlinear Theory and Its Applications, IEICE, Edición 21854106, 2022, ISSN 2185-4106
Editor: jstage
DOI: 10.1587/nolta.13.26

Boolean learning under noise-perturbations in hardware neural networks

Autores: Louis Andreoli, Xavier Porte, Stéphane Chrétien, Maxime Jacquot, Laurent Larger, Daniel Brunner
Publicado en: Nanophotonics, Edición 9/13, 2020, Página(s) 4139-4147, ISSN 2192-8614
Editor: De Gruyter
DOI: 10.1515/nanoph-2020-0171

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

Autores: Herbert Jaeger, Beatriz Noheda & Wilfred G. van der Wiel
Publicado en: Nature Communications, Edición volume 14, Article number: 4911 (2023), 2023, ISSN 2041-1723
Editor: Nature Publishing Group

An Integrated Photorefractive Analog Matrix-Vector Multiplier for Machine Learning

Autores: Elger A. Vlieg,Lucas Talandier, Roger Dangel, Folkert Horst, Bert J. Offrein
Publicado en: Applied Sciences, Edición 12(9), 2022, Página(s) 4226, ISSN 2076-3417
Editor: MDPI
DOI: 10.3390/app12094226

Concepts and Paradigms for Neuromorphic Programming

Autores: Steven Abreu
Publicado en: 2023
Editor: arxiv

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

Autores: Gouda, Muhammed; Abreu, Steven; Lugnan, Alessio; Bienstman, Peter
Publicado en: arxiv, Edición 33, 2023
Editor: Arxiv
DOI: 10.48550/arxiv.2303.10632

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

Autores: Daniel Hesslow, Alessandro Cappelli, Igor Carron, Laurent Daudet, Raphaël Lafargue, Kilian Müller, Ruben Ohana, Gustave Pariente, Iacopo Poli
Publicado en: 2021
Editor: Arxiv
DOI: 10.48550/arxiv.2104.14429

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

Autores: Marina Zajnulina, Alessandro Lupo, Serge Massar
Publicado en: 2023
Editor: Arxiv

Fully analog photonic deep Reservoir Computer based on frequency multiplexing.

Autores: A. Lupo, E. Picco, M. Zajnulina, S. Massar.
Publicado en: Arxiv, 2023
Editor: Arxiv
DOI: 10.48550/arxiv.2305.08892

Experimental implementation of a neural networkoptical channel equalizer in restricted hardwareusing pruning and quantization

Autores: Diego R. Arguello, Pedro J. Freire, Jaroslaw E. Prilepsky, Antonio Napoli, Morteza Kamalian-Kopae, Sergei K. Turitsyn
Publicado en: 2022
Editor: Arxiv
DOI: 10.48550/arxiv.2109.07204

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

Autores: Diego R. Arguello, Pedro J. Freire, Jaroslaw E. Prilepsky, Antonio Napoli, Morteza Kamalian-Kopae, Sergei K. Turitsyn
Publicado en: 2021
Editor: Arxiv

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

Autores: Ivan Boikov, Daniel Brunner, Alfredo De Rossi
Publicado en: 2023
Editor: ArXiv

Timescales: the choreography of classical and unconventional computing

Autores: Jaeger, Herbert; Catthoor, Francky
Publicado en: Arxiv, Edición 32, 2023
Editor: Arxiv
DOI: 10.48550/arxiv.2301.00893

Contrastive Embeddings for Neural Architectures

Autores: Daniel Hesslow & Iacopo Poli
Publicado en: 2021
Editor: Arxiv
DOI: 10.48550/arxiv.2102.04208

Is the Number of Trainable Parameters All That Actually Matters?

Autores: Chatelain, Amélie; Djeghri, Amine; Hesslow, Daniel; Launay, Julien; Poli, Iacopo
Publicado en: Edición 1, 2021
Editor: Arxiv

Deep Photonic Reservoir Computer for Speech Recognition

Autores: Enrico Picco, Alessandro Lupo, Serge Massar
Publicado en: 2023
Editor: Arxiv
DOI: 10.48550/arxiv.2312.06558

Flow cytometry with event-based vision and spiking neuromorphic hardware

Autores: Steven Abreu, Muhammed Gouda, Alessio Lugnan, Peter Bienstman
Publicado en: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, Edición pp. 4139-4147, 2023
Editor: 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

Autores: Xavier Porte; Anas Skalli; Nasibeh Haghighi; Stephan Reitzenstein; James A. Lott; Daniel Brunner
Publicado en: Journal of Physics: Photonics, 2021
Editor: IOP Publishing
DOI: 10.14279/depositonce-12404

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

Autores: Estébanez, Irene; Li, Shi; Schwind, Janek; Fischer, Ingo; Pachnicke, Stephan; Argyris, Apostolos
Publicado en: instname:, Edición 1, 2022
Editor: IFISC

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

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

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

Autores: Mirko Goldmann, Claudio R. Mirasso, Ingo Fischer, Miguel C. Soriano
Publicado en: 2021 International Joint Conference on Neural Networks (IJCNN), 2021, ISBN 978-1-6654-3900-8
Editor: IEEE
DOI: 10.1109/ijcnn52387.2021.9534333

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

Autores: Pedro J. Freire; Antonio Napoli; Bernhard Spinnler; Michael Anderson; Diego Argüello Ron; Wolfgang Schairer; Thomas Bex; Nelson Costa; Sergei K. Turitsyn; Jaroslaw E. Prilepsky
Publicado en: Journal of Lightwave Technology, Edición vol. 41, no. 14, 2023, Página(s) 4557-4581, ISSN 0733-8724
Editor: Optical Society of America
DOI: 10.1109/jlt.2023.3234327

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