7 research outputs found

    Photonic delay-based reservoir computing integrated on InP chip

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    Integrated photonic delay-lasers for reservoir computing

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    Currently, multiple photonic reservoir computing systems show great promise for providing a practical yet powerful hardware substrate for neuromorphic computing. Among those, delay-based systems offer a simple technological route to implement photonic neuromorphic computation. Its operation boils down to a time-multiplexing with the delay length limiting the processing speed. As most optical setups end up to be bulky employing long fiber loops or free-space optics, the processing speeds are ranging from kSa/s to tens of MSa/s. Therefore, we focus on external cavities which are far shorter than what has been realized before in such experiments. We present experimental results of reservoir computing based on a semiconductor laser, operating in a single mode regime around 1550nm, with a 10.8cm delay line. Both are integrated on an active/passive InP photonic chip built on the Jeppix platform. Using 23 virtual nodes spaced 50 ps apart in the integrated delay section, we increase the processing speed to 0.87GSa/s. The computational performance is benchmarked on a forecasting task applied to chaotic time samples. Competitive performance is observed for injection currents above threshold, with higher pumps having lower prediction errors. The feedback strength can be controlled by electrically pumping integrated amplifiers within the delay section. Nevertheless, we find good performance even when these amplifiers are unpumped. To proof the relevance and necessity of the external cavity on the computational capacity, we have analysed linear and nonlinear memory tasks. We also propose several post-processing methods, which increase the performance without a penalty to speed

    Time-multiplexed optical systems for reservoir computing and coherent Ising machines

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    Multiple photonic systems show great promise for providing practical yet powerful hardware substrates for neuromorphic computing. Among those, delay-based systems offer -through a time-multiplexing technique - a simple technological implementation route. We discuss our advances in the development of passive coherent fibre-ring cavities and semiconductor lasers with integrated delay for reservoir computing. Time-multiplexed systems are also highly suitable for coherent Ising machines as they allow to implement a fully interconnected large scale system with few components. We have recently proposed a system based on opto-electronic oscillators subjected to self-feedback with improved calculation time and solution quality
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