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Collaborative research on deep learning of quantum entanglement from incomplete measurements

Oldenburg physicists part of research indicating a radically novel pathway to analyze „entanglement“ in quantum bit systems via machine learning.

In a collaboration with researchers in Olomouc, Stockholm and Würzburg, C. Schneider (QMAT group, Oldenburg University) and Helene Lange Professor A. Predojevic indicated a radically novel, super-efficient pathway to analyze and quantify „entanglement“ in quantum bit systems via machine learning.

An article, detailing methods and findings, has just appeared in Science Advances: DOI: 10.1126/sciadv.add7131

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