Unsupervised machine learning of topological phase transitions from experimental data

Niklas Käming, Anna Dawid, Korbinian Kottmann +4

Identifying phase transitions is one of the key challenges in quantum many-body physics. Recently, machine learning methods have been shown to be an alternative way of localising p…