67 citations · 243 across the 16 of their papers we have counts for
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cond-mat.dis-nn2020★ 27 cited
Interpretable and unsupervised phase classification
Julian Arnold, Frank Schäfer, Martin Žonda +1
Fully automated classification methods that yield direct physical insights into phase diagrams are of current interest. Here, we demonstrate an unsupervised machine learning method…
quant-ph2020★ 50 cited
A differentiable programming method for quantum control
Frank Schäfer, Michal Kloc, Christoph Bruder +1
Optimal control is highly desirable in many current quantum systems, especially to realize tasks in quantum information processing. We introduce a method based on differentiable pr…