Browsing by Author "Sciamanna, Marc"

Now showing 1 - 4 of 4
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    All-Optical Reservoir Computing on a Photonic Chip Using Silicon-Based Ring Resonators
    (IEEE Journal of Selected Topics in Quantum Electronics, 2018) Denis-Le Coarer, Florian; Sciamanna, Marc; Katumba, Andrew; Freiberger, Matthias; Dambre, Joni; Bienstman, Peter; Rontani, Damien
    We present in our work numerical results on the performance of a 4 × 4 swirl-topology photonic reservoir integrated on a silicon chip. Nonlinearmicroring resonators are used as nodes. We analyze the performance of such a reservoir on a classical nonlinear Boolean task (the delayed XOR task) for: various designs of the reservoir in terms of lengths of the waveguides between consecutive nodes, and various injection parameters (injected power and optical detuning). From this analysis, we find that this kind of reservoir can perform–for a large variety of parameters–the delayed XOR task at 20 Gb/s with bit error rates lower than 10−3 and an averaged injection power lower than 2.5 mW.
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    Reservoir Computing with Nonlinear Micro-Resonators on a Silicon Photonics Chip
    (NOLTA, 2017) Rontani, Damien; Katumba, Andrew; Freiberger, Matthias; Dambre, Joni; Bienstman, Peter; Sciamanna, Marc
    We present here recent advances in the use of a small network of nonlinear micro-resonators integrated on a Silicon chip as a reservoir computer. We provide numerical evidence that this novel photonic integrated circuit can perform binary-type tasks (e.g.: the XOR task or multi-bit header recognition task) at bitrate of 20 Gb/s with a performance level adequate for telecom applications. We analyze the impact of key operational parameters (e.g.: optical power injected) and topological properties of the network on the level of performance of the proposed architecture. Finally, we will compare the performance between this new chip with a previous generation of passive reservoir [1] realized with splitters and combiners without any internal nonlinearity.
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    Threshold plasticity of hybrid Si-VO2 microring resonators
    (Optical Society of America, 2020) Wang, Zhi; Li, Qiang; Fu, Ziling; Katumba, Andrew; Denis-le Coarer, Florian; Rontani, Damien; Sciamanna, Marc; Bienstman, Peter
    We theoretically simulate the threshold plasticity of a high-Q-factor silicon-on-insulator microring resonator integrated with VO2. The proposed structure can perform excitatory and inhibitory learning by tuning the initial working condition.
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    Toward neuro-inspired computing using a small network of micro-ring resonators on an integrated photonic chip
    (SPIE, 2018) Denis-le Coarera, Florian; Rontania, Damien; Katumba, Andrew; Freiberger, Matthias; Dambre, Joni; Bienstman, Peter; Sciamanna, Marc
    We present in this work numerical simulations of the performance of an on-chip photonic reservoir computer using nonlinear microring resonator as neurons. We present dynamical properties of the nonlinear node and the reservoir computer, and we analyse the performance of the reservoir on a typical nonlinear Boolean task : the delayed XOR task. We study the performance for various designs (number of nodes, and length of the synapses in the reservoir), and with respect to the properties of the optical injection of the data (optical detuning and power). From this work, we nd that such a reservoir has state-of-the art level of performance on this particular task - that is a bit error rate of 2.5 10􀀀4 - at 20 Gb/s, with very good power e ciency (total injected power lower than 1.0 mW).