Search Results - "Bienstman, Peter"

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  1. 1

    Experimental realization of integrated photonic reservoir computing for nonlinear fiber distortion compensation by Sackesyn, Stijn, Ma, Chonghuai, Dambre, Joni, Bienstman, Peter

    Published in Optics express (27-09-2021)
    “…Nonlinearity mitigation in optical fiber networks is typically handled by electronic Digital Signal Processing (DSP) chips. Such DSP chips are costly,…”
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  2. 2

    Experimental characterization of a silicon photonic biosensor consisting of two cascaded ring resonators based on the Vernier-effect and introduction of a curve fitting method for an improved detection limit by Claes, Tom, Bogaerts, Wim, Bienstman, Peter

    Published in Optics express (25-10-2010)
    “…We studied a refractive index sensor that consists of two cascaded ring resonators and that works analogously to a Vernier-scale. We implemented it in…”
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  3. 3

    Experimental demonstration of reservoir computing on a silicon photonics chip by Vandoorne, Kristof, Mechet, Pauline, Van Vaerenbergh, Thomas, Fiers, Martin, Morthier, Geert, Verstraeten, David, Schrauwen, Benjamin, Dambre, Joni, Bienstman, Peter

    Published in Nature communications (24-03-2014)
    “…In today’s age, companies employ machine learning to extract information from large quantities of data. One of those techniques, reservoir computing (RC), is a…”
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  4. 4

    Demonstrating delay-based reservoir computing using a compact photonic integrated chip by Harkhoe, Krishan, Verschaffelt, Guy, Katumba, Andrew, Bienstman, Peter, Van der Sande, Guy

    Published in Optics express (03-02-2020)
    “…Photonic delay-based reservoir computing (RC) has gained considerable attention lately, as it allows for simple technological implementations of the RC concept…”
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  5. 5

    Emerging opportunities and challenges for the future of reservoir computing by Yan, Min, Huang, Can, Bienstman, Peter, Tino, Peter, Lin, Wei, Sun, Jie

    Published in Nature communications (06-03-2024)
    “…Reservoir computing originates in the early 2000s, the core idea being to utilize dynamical systems as reservoirs (nonlinear generalizations of standard bases)…”
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  6. 6

    Experimental results on nonlinear distortion compensation using photonic reservoir computing with a single set of weights for different wavelengths by Gooskens, Emmanuel, Sackesyn, Stijn, Dambre, Joni, Bienstman, Peter

    Published in Scientific reports (04-12-2023)
    “…Photonics-based computing approaches in combination with wavelength division multiplexing offer a potential solution to modern data and bandwidth needs. This…”
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  7. 7

    Silicon-on-Insulator microring resonator for sensitive and label-free biosensing by De Vos, Katrien, Bartolozzi, Irene, Schacht, Etienne, Bienstman, Peter, Baets, Roel

    Published in Optics express (11-06-2007)
    “…Label-free biosensors attempt to overcome the stability and reliability problems of biosensors relying on the detection of labeled molecules. We propose a…”
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  8. 8

    A recurrent Gaussian quantum network for online processing of quantum time series by De Prins, Robbe, Van der Sande, Guy, Bienstman, Peter

    Published in Scientific reports (29-05-2024)
    “…Over the last decade, researchers have studied the interplay between quantum computing and classical machine learning algorithms. However, measurements often…”
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  9. 9

    A training algorithm for networks of high-variability reservoirs by Freiberger, Matthias, Bienstman, Peter, Dambre, Joni

    Published in Scientific reports (02-09-2020)
    “…Physical reservoir computing approaches have gained increased attention in recent years due to their potential for low-energy high-performance computing…”
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  10. 10

    Simulating self-learning in photorefractive optical reservoir computers by Laporte, Floris, Dambre, Joni, Bienstman, Peter

    Published in Scientific reports (29-01-2021)
    “…Photorefractive materials exhibit an interesting plasticity under the influence of an optical field. By extending the finite-difference time-domain method to…”
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  11. 11
  12. 12

    Neuromorphic Computing Based on Silicon Photonics and Reservoir Computing by Katumba, Andrew, Freiberger, Matthias, Laporte, Floris, Lugnan, Alessio, Sackesyn, Stijn, Chonghuai Ma, Dambre, Joni, Bienstman, Peter

    “…We present our latest progress using new neuromorphic paradigms for optical information processing in silicon photonics. We show how passive reservoir…”
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  13. 13

    Compact Silicon Nitride Arrayed Waveguide Gratings for Very Near-Infrared Wavelengths by Martens, Daan, Subramanian, Ananth Z., Pathak, Shibnath, Vanslembrouck, Michael, Bienstman, Peter, Bogaerts, Wim, Baets, Roel G.

    Published in IEEE photonics technology letters (15-01-2015)
    “…In this letter, we report a novel high-index-contrast silicon nitride arrayed waveguide grating (AWG) for very near-infrared wavelengths. This device is…”
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  14. 14

    Addressing limited weight resolution in a fully optical neuromorphic reservoir computing readout by Ma, Chonghuai, Laporte, Floris, Dambre, Joni, Bienstman, Peter

    Published in Scientific reports (04-02-2021)
    “…Using optical hardware for neuromorphic computing has become more and more popular recently, due to its efficient high-speed data processing capabilities and…”
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  15. 15

    A Multiple-Input Strategy to Efficient Integrated Photonic Reservoir Computing by Katumba, Andrew, Freiberger, Matthias, Bienstman, Peter, Dambre, Joni

    Published in Cognitive computation (01-06-2017)
    “…Photonic reservoir computing has evolved into a viable contender for the next generation of analog computing platforms as industry looks beyond standard…”
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  16. 16

    Comparing plasmonic and dielectric gratings for absorption enhancement in thin-film organic solar cells by Le, Khai Q, Abass, Aimi, Maes, Bjorn, Bienstman, Peter, Alù, Andrea

    Published in Optics express (02-01-2012)
    “…We theoretically investigate and compare the influence of square silver gratings and one-dimensional photonic crystal (1D PC) based nanostructures on the light…”
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  17. 17

    Toward optical signal processing using photonic reservoir computing by Vandoorne, Kristof, Dierckx, Wouter, Schrauwen, Benjamin, Verstraeten, David, Baets, Roel, Bienstman, Peter, Van Campenhout, Jan

    Published in Optics express (21-07-2008)
    “…We propose photonic reservoir computing as a new approach to optical signal processing in the context of large scale pattern recognition problems. Photonic…”
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  18. 18

    Using photonic reservoirs as preprocessors for deep neural networks by Bauwens, Ian, Van der Sande , Guy, Bienstman , Peter, Verschaffelt , Guy

    Published in Frontiers in physics (24-11-2022)
    “…Artificial neural networks are very time consuming and energy intensive to train, especially when increasing the size of the neural network in an attempt to…”
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  19. 19

    Automated design of complex dynamic systems by Hermans, Michiel, Schrauwen, Benjamin, Bienstman, Peter, Dambre, Joni

    Published in PloS one (31-01-2014)
    “…Several fields of study are concerned with uniting the concept of computation with that of the design of physical systems. For example, a recent trend in…”
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  20. 20

    Photonic reservoir computing for nonlinear equalization of 64-QAM signals with a Kramers–Kronig receiver by Masaad, Sarah, Gooskens, Emmanuel, Sackesyn, Stijn, Dambre, Joni, Bienstman, Peter

    Published in Nanophotonics (Berlin, Germany) (10-03-2023)
    “…Photonic reservoirs are machine learning based systems that boast energy efficiency and speediness. Thus they can be deployed as optical processors in fiber…”
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