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New DFG research group investigates complex quantum states using machine learning

The German Research Foundation (DFG) is funding a new research group that will investigate the interplay between machine learning and complex quantum states.

The consortium, led by Dr. Markus Schmitt from Regensburg, consists of scientists from Augsburg, Dortmund, Erlangen, Jena, Cologne, Lausanne, Munich, Regensburg and Zurich who are conducting both theoretical and experimental research. Prof. Dr. Christof Weitenberg from TU Dortmund University is involved and will generate quantum states in experiments with ultracold atoms, the data from which will be analyzed using machine learning and compared with simulations using neuronal quantum states. The researchers hope that the collaboration will provide new insights into complex quantum states as used in quantum technologies as well as new impulses for machine learning.

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