487 citations · 2.1k across the 11 of their papers we have counts for
11 papers
Identifying Quantum Phase Transitions using Artificial Neural Networks on Experimental Data
Benno S. Rem, Niklas Käming, Matthias Tarnowski +5
Machine learning techniques such as artificial neural networks are currently revolutionizing many technological areas and have also proven successful in quantum physics application…
Measuring quantized circular dichroism in ultracold topological matter
Luca Asteria, Duc Thanh Tran, Tomoki Ozawa +6
The topology of two-dimensional materials traditionally manifests itself through the quantization of the Hall conductance, which is revealed in transport measurements. Recently, it…
High-precision multiband spectroscopy of ultracold fermions in a nonseparable optical lattice
Nick Fläschner, Matthias Tarnowski, Benno S. Rem +3
Spectroscopic tools are fundamental for the understanding of complex quantum systems. Here we demonstrate high-precision multi-band spectroscopy in a graphene-like lattice using ul…
Observation of topological Bloch-state defects and their merging transition
Matthias Tarnowski, Marlon Nuske, Nick Fläschner +6
Topological defects in Bloch bands, such as Dirac points in graphene, and their resulting Berry phases play an important role for the electronic dynamics in solid state crystals. S…
Observation of a dynamical topological phase transition
Nick Fläschner, Dominik Vogel, Matthias Tarnowski +7
Phase transitions are a fundamental concept in science describing diverse phenomena ranging from, e.g., the freezing of water to Bose-Einstein condensation. While the concept is we…
Experimental reconstruction of the Berry curvature in a topological Bloch band
N. Fläschner, B. S. Rem, M. Tarnowski +4
Topological properties lie at the heart of many fascinating phenomena in solid state systems such as quantum Hall systems or Chern insulators. The topology can be captured by the d…