2 papers
cond-mat.quant-gas2018
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…
cond-mat.quant-gas2018
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…