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Predicting hidden structure in dynamical systems

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  1. Article

    Open Access

    Controlling chaos using edge computing hardware

    Machine learning provides a data-driven approach for creating a digital twin of a system – a digital model used to predict the system behavior. Having an accurate digital twin can drive many applications, such...

    Robert M. Kent, Wendson A. S. Barbosa, Daniel J. Gauthier in Nature Communications (2024)

  2. Article

    Open Access

    Next generation reservoir computing

    Reservoir computing is a best-in-class machine learning algorithm for processing information generated by dynamical systems using observed time-series data. Importantly, it requires very small training data se...

    Daniel J. Gauthier, Erik Bollt, Aaron Griffith in Nature Communications (2021)

  3. Article

    Open Access

    The information of high-dimensional time-bin encoded photons

    High-dimensional entanglement is an important physical resource for quantum communication. A basic issue for any communication scheme is how many shared bits two parties can extract subject to experimental no...

    Thomas Brougham, Christoph F. Wildfeuer in The European Physical Journal D (2016)

  4. Article

    Superluminal speed of information? (reply)

    Stenner et al. reply — It was most natural to present our findings1 in the time domain, although there is an equivalent explanation in the frequency domain if Fourier analysis is used. Nimtz2 uses a frequency-dom...

    Michael D. Stenner, Daniel J. Gauthier, Mark A. Neifeld in Nature (2004)