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

Risultati finali

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

Pubblicazioni

Hands-on reservoir computing: a tutorial for practical implementation

Autori: Matteo Cucchi, Steven Abreu, Giuseppe Ciccone, Daniel Brunner and Hans Kleemann
Pubblicato in: Neuromorphic Computing and Engineering, Numero Volume 2, Number 3, 2022, ISSN 2634-4386
Editore: 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

Autori: Anas Skalli, Xavier Porte, Nasibeh Haghighi, Stephan Reitzenstein, James A. Lott, and Daniel Brunner
Pubblicato in: Optical Materials Express, Numero 21593930, 2022, ISSN 2159-3930
Editore: Optical Society of America
DOI: 10.1364/ome.451524

Integrated programmable spectral filter for frequency-multiplexed neuromorphic computers

Autori: TIGERS JONUZI, ALESSANDRO LUPO, MIGUEL C.SORIANO, SERGE MASSAR, J. D. DOMENÉCH
Pubblicato in: Optics Express, Numero 31(12), 2023, Pagina/e 19255-19265, ISSN 1094-4087
Editore: Optical Society of America
DOI: 10.1364/oe.489246

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

Autori: I K Boikov; D Brunner; A De Rossi
Pubblicato in: New Journal of Physics, Numero Volume 25, 2023, ISSN 1367-2630
Editore: Institute of Physics Publishing
DOI: 10.1088/1367-2630/acfba6

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

Autori: Xavier Porte, Anas Skalli, Nasibeh Haghighi, Stephan Reitzenstein, James A Lott, Daniel Brunner
Pubblicato in: Journal of Physics: Photonics, Numero 3/2, 2021, Pagina/e 024017, ISSN 2515-7647
Editore: IOP Institute of Physics
DOI: 10.1088/2515-7647/abf6bd

Exploiting oscillatory dynamics of delay systems for reservoir computing

Autori: Mirko Goldmann; Ingo Fischer; Claudio R. Mirasso; Miguel C. Soriano
Pubblicato in: Chaos, Numero 33, 2023, Pagina/e 093139, ISSN 1089-7682
Editore: AIP Publishing
DOI: 10.1063/5.0156494

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

Autori: Irene Estébanez; Shi Li; Janek Schwind; Ingo Fischer; Stephan Pachnicke; Apostolos Argyris
Pubblicato in: Journal of Lightwave Technology, 2021, Pagina/e 55 - 62, ISSN 0733-8724
Editore: 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

Autori: Sarah Masaad, Emmanuel Gooskens , Stijn Sackesyn , Joni Dambre and Peter Bienstman
Pubblicato in: Nanophotonics, 2022, ISSN 2192-8606
Editore: De Gruyter
DOI: 10.1515/nanoph-2022-0426

High Speed Human Action Recognition using a Photonic Reservoir Computer

Autori: Enrico Picco, Piotr Antonik, Serge Massar
Pubblicato in: Neural Networks,, Numero Volume 165,, 2023, Pagina/e 662-675, ISSN 0893-6080
Editore: Pergamon Press Ltd.

Photonic neuromorphic computing using vertical cavity semiconductor lasers

Autori: Anas Skalli, Joshua Robertson, Dafydd Owen-Newns, Matej Hejda, Xavier Porte, Stephan Reitzenstein, Antonio Hurtado, D. Brunner
Pubblicato in: Optical Materials Express, Numero 12, 2022, Pagina/e 2395-2414, ISSN 2159-3930
Editore: 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

Autori: Long H. Nguyen; Sonia Boscolo; Stylianos Sygletos
Pubblicato in: Optics Express, Numero 32, 2024, Pagina/e 13467-13477, ISSN 1094-4087
Editore: Optical Society of America
DOI: 10.1364/oe.516840

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

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

Photonic extreme learning machine based on frequency multiplexing

Autori: Alessandro Lupo, Lorenz Butschek, and Serge Massar
Pubblicato in: Optics Express, Numero Volume . 29,Numero 18,, 2021, Pagina/e p. 28257-28276, ISSN 1094-4087
Editore: 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

Autori: Mirko Goldmann, Claudio R. Mirasso, Ingo Fischer, Miguel C. Soriano
Pubblicato in: PHYSICAL REVIEW E, Numero Vol. 106, Iss. 4, 2022, ISSN 2470-0045
Editore: American Physical Society
DOI: 10.48550/arxiv.2111.03706

Photonic reservoir computer based on frequency multiplexing

Autori: Lorenz Butschek, Akram Akrout, Evangelia Dimitriadou, Alessandro Lupo, Marc Haelterman, Serge Massar
Pubblicato in: Optics Letters, Numero Vol. 47, Numero 4,, 2022, Pagina/e pp. 782-785, ISSN 0146-9592
Editore: Optical Society of America
DOI: 10.1364/ol.451087

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

Autori: Alessandro Lupo, Enrico Picco, Marina Zajnulina, and Serge Massar
Pubblicato in: Optica, Numero Vol. 10, Numero 11,, 2023, Pagina/e 1478-1485, ISSN 2334-2536
Editore: OPTICA Publishing Group
DOI: 10.1364/optica.489501

Photonic neuromorphic technologies in optical communications

Autori: Apostolos Argyris
Pubblicato in: Nanophotonics, Numero Volume 11 Numero 5, 2022, ISSN 2192-8606
Editore: De Gruyter
DOI: 10.1515/nanoph-2021-0578

Parallel Extreme Learning Machines Based on Frequency Multiplexing

Autori: Alessandro Lupo, Serge Massar
Pubblicato in: MDPI Applied Sciences, Numero Volume 12, Numero 1, Special Numero Neuromorphic Photonics: Current Devices, Systems and Perspectives, 2021, Pagina/e p. 214, ISSN 2076-3417
Editore: MDPI
DOI: 10.3390/app12010214

Nonlinear photonic dynamical systems for unconventional computing

Autori: Daniel Brunner; Laurent Larger; Miguel Cornelles Soriano
Pubblicato in: Nonlinear Theory and Its Applications, IEICE, Numero 21854106, 2022, ISSN 2185-4106
Editore: jstage
DOI: 10.1587/nolta.13.26

Boolean learning under noise-perturbations in hardware neural networks

Autori: Louis Andreoli, Xavier Porte, Stéphane Chrétien, Maxime Jacquot, Laurent Larger, Daniel Brunner
Pubblicato in: Nanophotonics, Numero 9/13, 2020, Pagina/e 4139-4147, ISSN 2192-8614
Editore: De Gruyter
DOI: 10.1515/nanoph-2020-0171

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

Autori: Herbert Jaeger, Beatriz Noheda & Wilfred G. van der Wiel
Pubblicato in: Nature Communications, Numero volume 14, Article number: 4911 (2023), 2023, ISSN 2041-1723
Editore: Nature Publishing Group

An Integrated Photorefractive Analog Matrix-Vector Multiplier for Machine Learning

Autori: Elger A. Vlieg,Lucas Talandier, Roger Dangel, Folkert Horst, Bert J. Offrein
Pubblicato in: Applied Sciences, Numero 12(9), 2022, Pagina/e 4226, ISSN 2076-3417
Editore: MDPI
DOI: 10.3390/app12094226

Concepts and Paradigms for Neuromorphic Programming

Autori: Steven Abreu
Pubblicato in: 2023
Editore: arxiv

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: arxiv, Numero 33, 2023
Editore: Arxiv
DOI: 10.48550/arxiv.2303.10632

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

Autori: Daniel Hesslow, Alessandro Cappelli, Igor Carron, Laurent Daudet, Raphaël Lafargue, Kilian Müller, Ruben Ohana, Gustave Pariente, Iacopo Poli
Pubblicato in: 2021
Editore: Arxiv
DOI: 10.48550/arxiv.2104.14429

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

Autori: Marina Zajnulina, Alessandro Lupo, Serge Massar
Pubblicato in: 2023
Editore: Arxiv

Fully analog photonic deep Reservoir Computer based on frequency multiplexing.

Autori: A. Lupo, E. Picco, M. Zajnulina, S. Massar.
Pubblicato in: Arxiv, 2023
Editore: Arxiv
DOI: 10.48550/arxiv.2305.08892

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

Autori: Diego R. Arguello, Pedro J. Freire, Jaroslaw E. Prilepsky, Antonio Napoli, Morteza Kamalian-Kopae, Sergei K. Turitsyn
Pubblicato in: 2022
Editore: Arxiv
DOI: 10.48550/arxiv.2109.07204

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

Autori: Diego R. Arguello, Pedro J. Freire, Jaroslaw E. Prilepsky, Antonio Napoli, Morteza Kamalian-Kopae, Sergei K. Turitsyn
Pubblicato in: 2021
Editore: Arxiv

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

Autori: Ivan Boikov, Daniel Brunner, Alfredo De Rossi
Pubblicato in: 2023
Editore: ArXiv

Timescales: the choreography of classical and unconventional computing

Autori: Jaeger, Herbert; Catthoor, Francky
Pubblicato in: Arxiv, Numero 32, 2023
Editore: Arxiv
DOI: 10.48550/arxiv.2301.00893

Contrastive Embeddings for Neural Architectures

Autori: Daniel Hesslow & Iacopo Poli
Pubblicato in: 2021
Editore: Arxiv
DOI: 10.48550/arxiv.2102.04208

Is the Number of Trainable Parameters All That Actually Matters?

Autori: Chatelain, Amélie; Djeghri, Amine; Hesslow, Daniel; Launay, Julien; Poli, Iacopo
Pubblicato in: Numero 1, 2021
Editore: Arxiv

Deep Photonic Reservoir Computer for Speech Recognition

Autori: Enrico Picco, Alessandro Lupo, Serge Massar
Pubblicato in: 2023
Editore: Arxiv
DOI: 10.48550/arxiv.2312.06558

Flow cytometry with event-based vision and spiking neuromorphic hardware

Autori: Steven Abreu, Muhammed Gouda, Alessio Lugnan, Peter Bienstman
Pubblicato in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, Numero pp. 4139-4147, 2023
Editore: 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

Autori: Xavier Porte; Anas Skalli; Nasibeh Haghighi; Stephan Reitzenstein; James A. Lott; Daniel Brunner
Pubblicato in: Journal of Physics: Photonics, 2021
Editore: IOP Publishing
DOI: 10.14279/depositonce-12404

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

Autori: Estébanez, Irene; Li, Shi; Schwind, Janek; Fischer, Ingo; Pachnicke, Stephan; Argyris, Apostolos
Pubblicato in: instname:, Numero 1, 2022
Editore: IFISC

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

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

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

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

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

Autori: Pedro J. Freire; Antonio Napoli; Bernhard Spinnler; Michael Anderson; Diego Argüello Ron; Wolfgang Schairer; Thomas Bex; Nelson Costa; Sergei K. Turitsyn; Jaroslaw E. Prilepsky
Pubblicato in: Journal of Lightwave Technology, Numero vol. 41, no. 14, 2023, Pagina/e 4557-4581, ISSN 0733-8724
Editore: Optical Society of America
DOI: 10.1109/jlt.2023.3234327

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