71 citations · 139 across the 8 of their papers we have counts for
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cs.ET2020★ 12 cited
Spiking neuromorphic chip learns entangled quantum states
Stefanie Czischek, Andreas Baumbach, Sebastian Billaudelle +8
The approximation of quantum states with artificial neural networks has gained a lot of attention during the last years. Meanwhile, analog neuromorphic chips, inspired by structura…
hep-lat2020★ 45 cited
Towards Novel Insights in Lattice Field Theory with Explainable Machine Learning
Stefan Bluecher, Lukas Kades, Jan M. Pawlowski +2
Machine learning has the potential to aid our understanding of phase structures in lattice quantum field theories through the statistical analysis of Monte Carlo samples. Available…