235 citations · 520 across the 11 of their papers we have counts for
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cond-mat.quant-gas2018★ 235 cited
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★ 160 cited
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…