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H2020: Phresco

Full Name: Photonic Reservoir Computing

Duration: 1/11/2015-1/4/2019 (Finished)

Project Web site: http://fys.kuleuven.be/apps/phresco/project.html

People involved

Peter Bienstman

Research topics involved

Photonic Reservoir Computing

Publications in the framework of this project (39)

International Journals

S. Sackesyn, C. Ma, J. Dambre, P. Bienstman, Experimental realization of integrated photonic reservoir computing for nonlinear fiber distortion compensation, Optics Express, 29(20), p.30991-30997 doi:10.1364/OE.435013 (2021) .
C. Ma, F. Laporte, J. Dambre, P. Bienstman, Addressing limited weight resolution in a fully optical neuromorphic reservoir computing readout, Scientific Reports, 11, p.article number 3102 (9 pages) doi:10.1038/s41598-021-82720-4 (2021) .
M. Freiberger, A. Katumba, P. Bienstman, J. Dambre, Training Passive Photonic Reservoirs with Integrated Optical Readout, IEEE Transactions on Neural Networks and Learning Systems, 30(7), p.1943-1953 doi:10.1109/tnnls.2018.2874571 (2019).
F. Laporte, J. Dambre, P. Bienstman, Highly parallel simulation and optimization of photonic circuits in time and frequency domain based on the deep-learning framework PyTorch, Scientific Reports, 9(1), p.5918 doi:10.1038/s41598-019-42408-2 (2019) .
A. Katumba, X. Yin, J. Dambre, P. Bienstman, A Neuromorphic Silicon Photonics Nonlinear Equalizer for Optical Communication with Intensity Modulation and Direct-Detection, Journal of Lightwave Technologies, 37(10), p.2232-2239 doi:10.1109/JLT.2019.2900568 (2019) .
F. Denis-le Coarer, M. Sciamanna, A. Katumba, M. Freiberger, J. Dambre, P. Bienstman, D. Rontani, All-optical reservoir computing on a photonic chip using silicon-based ring resonators, IEEE Journal on Selected Topics in Quantum Electronics, 24(6), doi:10.1109/JSTQE.2018.2836985 (2018).
A. Katumba, M. Freiberger, F. Laporte, A. Lugnan, S. Sackesyn, C. Ma, J. Dambre, P. Bienstman, Neuromorphic computing based on silicon photonics and reservoir computing, IEEE Journal on Selected Topics in Quantum Electronics (invited), 24(6), p.8300310 (10 pages) doi:10.1109/JSTQE.2018.2821843 (2018).
F. Laporte, A. Katumba, J. Dambre, P. Bienstman, Numerical demonstration of neuromorphic computing with photonic crystal cavities, Optics Express, 26(7), p.7955-7964 doi:10.1364/OE.26.007955 (2018) .
A. Katumba, J. Heyvaert, B. Schneider, S. Uvin, J. Dambre, P. Bienstman, Low-Loss Photonic Reservoir Computing with Multimode Photonic Integrated Circuits, Scientific Reports, 8(1), p.2653 doi:10.1038/s41598-018-21011-x (2018) .
A. Katumba, M. Freiberger, J. Dambre, P. Bienstman, A Multiple-Input Strategy to Efficient Integrated Photonic Reservoir Computing, Cognitive Computation, 9(3), p.307-314 doi:10.1007/s12559-017-9465-5 (2017).

Book / Book Chapter

A. Katumba, M. Freiberger, F. Laporte, A. Lugnan, S. Sackesyn, C. Ma, J. Dambre, P. Bienstman, Integrated on-chip reservoirs, Photonic Reservoir Computing: Optical Recurrent Neural Networks (invited), p.53-82 (2019).

International Conferences

P. Bienstman, A. Lugnan, S. Aggarwal, F. BrÃƒÂ¼ckerhoff-PlÃƒÂ¼ckelmann, W. Pernice, H. Bhaskaran, C. Ma, S. Sackesyn, E.J.C. Gooskens, S. Masaad, M. Gouda, R. De Prins, Optical computing in silicon photonics: self-adapting ring networks and quantum recurrent neural networks, Natural and Physical Computing (NNPC), Germany, p.1 (2023) .
S. Sackesyn, C. Ma, J. Dambre, P. Bienstman, Experimental Demonstration of Nonlinear Fibre Distortion Compensation with Integrated Photonic Reservoir Computing, ECOC, France, p.SC3-tu4g.6 doi:10.1109/ECOC52684.2021.9606162 (2021) .
A. Lugnan, S. Sackesyn, C. Ma, E.J.C. Gooskens, M. Gouda, S. Masaad, Joni Dambre, P. Bienstman, Photonic reservoir computing for high-speed neuromorphic computing applications, 2021 IEEE Summer Topicals Meeting Series (invited), Mexico, (2021).
F. Laporte, A. Katumba, M. Freiberger, A. Lugnan, S. Sackesyn, C. Ma, E.J.C. Gooskens, J. Dambre, P. Bienstman, Photonic Reservoir Computing, Photonic Integration Week (invited), Spain, (2020).
S. Sackesyn, C. Ma, A. Katumba, F. Denis-le Coarer, J. Dambre, P. Bienstman, A power-efficient architecture for silicon photonic reservoir computing, Proceedings of the 24rd Annual Symposium of the IEEE Photonics Benelux Chapter, Netherlands, p.4 (2019) .
S. Sackesyn, C. Ma, A. Katumba, J. Dambre, P. Bienstman, A power-efficient architecture for on-chip reservoir computing, Artificial Neural Networks and Machine Learning ICANN 2019: Workshop and Special Sessions. ICANN 2019. Lecture Notes in Computer Science, 11731, Germany, p.161-164 doi:10.1007/978-3-030-30493-5_16 (2019).
F. Laporte, J. Dambre, P. Bienstman, Photontorch: Simulation and Optimization of Large Photonic Circuits Using the Deep Learning Framework PyTorch, IEEE Photonics Society Summer Topicals, United States, p.paper WE1.2 doi:10.1109/phosst.2019.8794941 (2019) .
C. Ma, S. Sackesyn, J.Dambre, P. Bienstman, All-Optical Readout for Integrated Photonic Reservoir Computing, 2019 21st International Conference on Transparent Optical Networks (ICTON) (invited), France, p.paper Fr.D5.4 (4 pages) doi:10.1109/ICTON.2019.8840492 (2019).
S. Sackesyn, C. Ma, J. Dambre, P. Bienstman, An enhanced architecture for silicon photonic reservoir computing, Cognitive Computing 2018: Merging Concepts with Hardware, Germany, (2018) .
M. Freiberger, P. Bienstman, J. Dambre, Improving Time Series Prediction with Ensembles of Integrated Photonic Reservoirs, Cognitive Computing 2018: Merging Concepts with Hardware, Germany, p.2 (2018) .
K. Harkhoe, G. Verschaffelt, A. Katumba, P. Bienstman, G. Van der Sande, Delay Based Reservoir Computing on Integrated InP Photonic Chip, Cognitive Computing: Merging Concepts with Hardware, Germany, p.2 (2018).
C. Ma, F. Laporte, S. Sackesyn, J.Dambre, P. Bienstman, Optical readout for low resolution weighting and easy observation for integrated photonic reservoir computing, accepted for publication in IEEE Benelux Chapter Annual Symposium 2019, (to be published).
K. Harkhoe, G. Verschaffelt, A. Katumba, P. Bienstman, G. Van der Sande, Integrated Delay Based Photonic Reservoir Computing, Proceedings of the 23rd Annual Symposium of the IEEE Photonics Benelux Chapter, Belgium, (2018).
A. Katumba, X. Jin, J. Dambre, P. Bienstman, Silicon Photonics Neuromorphic Computing and its Application to Telecommunications, 44th European Conference on Optical Communication (invited), Italy, p.paper Mo4H (3 pages) doi:10.1109/ecoc.2018.8535262 (2018) .
F. Denis-le Coarer, D. Rontani, A. Katumba, M. Freiberger, J. Dambre, P. Bienstman, M. Sciamanna, Toward neuro-inspired computing using a small network of micro-ring resonators on an integrated photonic chip, SPIE PHOTONICS EUROPE, 10689, France, p.1068908-9 doi:10.1117/12.2306780 (2018).
P. Bienstman, J. Dambre, A. Katumba, M. Freiberger, F. Laporte, A. Lugnan, Photonic reservoir computing: a brain-inspired approach for information processing, The Optical Fiber Communication Conference (OFC) (invited), United States, p.paper M4F.4 (3 pages) doi:10.1364/OFC.2018.M4F.4 (2018).
P. Bienstman, J. Dambre, A. Katumba, M. Freiberger, F. Laporte, A. Lugnan, Silicon photonics for neuromorphic information processing , SPIE Photonics West (invited), DL 10551, United States, p.paper 10551-19 (7 pages) doi:10.1117/12.2284391 (2018).
D. Rontani, F. Denis-Le Coarer, A. Katumba, M. Freiberger, J. Dambre, P. Bienstman, M. Sciamanna, Reservoir Computing with Nonlinear Micro-Resonators on a Silicon Photonics Chip, International Symposium on Nonlinear Theory and Its Applications, Mexico, p.paper 5192, session A3LC (2017) .
M. Freiberger, A. Katumba, J. Dambre, P. Bienstman, On-chip passive photonic reservoir computing with integrated optical readout, ICRC2017, the IEEE International Conference on Rebooting Computing 2017, United States, p. 255 - 258 doi:10.1109/ICRC.2017.8123673 (2017).
D. Rontani, F. Denis, A. Katumba, M. Freiberger, J. Dambre, P. Bienstman, M. Sciamanna, Photonic reservoir computing using a small network of micro-ring resonators, Workshop on Dynamical Systems and Brain-inspired Information Processing, Germany, (2017) .
F. Laporte, A. Lugnan, J. Dambre, P. Bienstman, Novel photonic reservoir computing architectures, Workshop on Dynamical Systems and Brain-inspired Information Processing, , Germany, (2017) .
A. Katumba, M. Freiberger, J. Heyvaert, J. Dambre, P. Bienstman, Building Scalable Integrated Silicon Photonics Reservoirs for Signal Processing, Frontiers in Optics, United States, p.paper JTu2A.92 (2 pages) doi:10.1364/FIO.2017.JTu2A.92 (2017).
A. Katumba, F. Laporte, A. Lugnan, J. Dambre, P. Bienstman, Integrated-photonics implementation of reservoir computing neural networks, Machine learning workshop at ECOC (invited), Sweden, (2017).
F. Laporte, J. Dambre, P. Bienstman, Reservoir Computing with signal-mixing cavities, 19th International Conference on Transparent Optical Networks (ICTON) (invited), Spain, p.We.A5.3 doi:10.1109/ICTON.2017.8024990 (2017).
F. Denis, D. Rontani, A. Katumba, M. Freiberger, J. Dambre, P. Bienstman, M. Sciamanna, Reservoir computing on an active silicon photonics chip using nonlinear microring resonators, XXXVII Dynamic Days Europe, Hungary, p.187 (2017) .
A. Katumba, M. Freiberger, J. Dambre, P. Bienstman, Passive integrated photonics reservoir computing with on-chip readout for telecommunication applications, Dynamical Systems and Brain Inspired Computing 2017 (invited), Belgium, (2017).
F. Laporte, J. Dambre, P. Bienstman, Header recognition with signal-mixing cavities, Workshop on Dynamical Systems and Brain-inspired Information Processing, Belgium, (2017).
F. Denis, D. Rontani, A. Katumba, M. Freiberger, J. Dambre, P. Bienstman, M. Sciamanna, Nonlinear microring resonators on silicon photonic chip for brain inspired computing, Workshop on Dynamical Systems and Brain-inspired Information Processing, Belgium, (2017).