Search Results for author: Klaus Sengstock

Found 3 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

Interorbital Interactions in an SU(2)xSU(6)-Symmetric Fermi-Fermi Mixture

no code implementations21 Dec 2020 Benjamin Abeln, Koen Sponselee, Marcel Diem, Nejira Pintul, Klaus Sengstock, Christoph Becker

We characterize inter- and intraisotope interorbital interactions between atoms in the 1S0 ground state and the 3P0 metastable state in interacting Fermi-Fermi mixtures of 171Yb and 173Yb.

Quantum Gases Quantum Physics

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