Hendrik Poulsen Nautrup
Title
Cited by
Cited by
Year
Active learning machine learns to create new quantum experiments
AA Melnikov, HP Nautrup, M Krenn, V Dunjko, M Tiersch, A Zeilinger, ...
Proceedings of the National Academy of Sciences 115 (6), 1221-1226, 2018
1102018
Optimizing quantum error correction codes with reinforcement learning
HP Nautrup, N Delfosse, V Dunjko, HJ Briegel, N Friis
Quantum 3, 215, 2019
242019
Symmetry-protected topologically ordered states for universal quantum computation
HP Nautrup, TC Wei
Physical Review A 92 (5), 052309, 2015
232015
Fault-tolerant interface between quantum memories and quantum processors
HP Nautrup, N Friis, HJ Briegel
Nature communications 8 (1), 1-8, 2017
172017
Computationally universal phase of quantum matter
R Raussendorf, C Okay, DS Wang, DT Stephen, HP Nautrup
Physical review letters 122 (9), 090501, 2019
162019
Subsystem symmetries, quantum cellular automata, and computational phases of quantum matter
DT Stephen, HP Nautrup, J Bermejo-Vega, J Eisert, R Raussendorf
Quantum 3, 142, 2019
132019
Photonic architecture for reinforcement learning
F Flamini, A Hamann, S Jerbi, LM Trenkwalder, HP Nautrup, HJ Briegel
New Journal of Physics, 2020
22020
Operationally meaningful representations of physical systems in neural networks
HP Nautrup, T Metger, R Iten, S Jerbi, LM Trenkwalder, H Wilming, ...
arXiv preprint arXiv:2001.00593, 2020
12020
A framework for deep energy-based reinforcement learning with quantum speed-up
S Jerbi, HP Nautrup, LM Trenkwalder, HJ Briegel, V Dunjko
arXiv preprint arXiv:1910.12760, 2019
12019
Topological code switching in two dimensions
HP Nautrup, N Friis, HJ Briegel
arXiv preprint arXiv:1609.08062, 2016
12016
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Articles 1–10