SAMOP 2023 – wissenschaftliches Programm

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Q: Fachverband Quantenoptik und Photonik

Q 22: Poster II

Q 22.19: Poster

Dienstag, 7. März 2023, 16:30–19:00, Empore Lichthof

Study of a matter wave neural network — •Moritz Sträter, Niklas Käming, Klaus Sengstock, and Christof Weitenberg — Universität Hamburg (UHH), Hamburg, Deutschland

Machine learning and neural networks have proven a powerful tool for studying quantum many-body physics. Moreover, the search for new architectures and implementations of neural networks building on optical or quantum hardware is an ongoing research topic.

In this poster, we present the progress on the evaluation of a new concept of a matter-wave neural network based on the coherent coupling of momentum modes of a BEC. We study the effects of interactions on the capacity and performance of the network for example classification tasks.

In the future, we hope to find and quantify a possible advantage of coherence, non-linearities and quantum correlations for generic classification tasks, which are offered in such cold-atom hardware.