Search Results for author: Christof Weitenberg

Found 1 papers, 1 papers with code

Unsupervised machine learning of topological phase transitions from experimental data

1 code implementation14 Jan 2021 Niklas Käming, Anna Dawid, Korbinian Kottmann, Maciej Lewenstein, Klaus Sengstock, Alexandre Dauphin, Christof Weitenberg

Recently, machine learning methods have been shown to be an alternative way of localising phase boundaries also from noisy and imperfect data and without the knowledge of the order parameter.

Anomaly Detection Quantum Gases Disordered Systems and Neural Networks Mesoscale and Nanoscale Physics Quantum Physics

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