Hendrik Poulsen Nautrup
Hendrik Poulsen Nautrup
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Active learning machine learns to create new quantum experiments
AA Melnikov, H Poulsen Nautrup, M Krenn, V Dunjko, M Tiersch, ...
Proceedings of the National Academy of Sciences 115 (6), 1221-1226, 2018
Optimizing quantum error correction codes with reinforcement learning
HP Nautrup, N Delfosse, V Dunjko, HJ Briegel, N Friis
Quantum 3, 215, 2019
Entangling logical qubits with lattice surgery
A Erhard, H Poulsen Nautrup, M Meth, L Postler, R Stricker, M Stadler, ...
Nature 589 (7841), 220-224, 2021
Quantum machine learning beyond kernel methods
S Jerbi, LJ Fiderer, H Poulsen Nautrup, JM Kübler, HJ Briegel, V Dunjko
Nature Communications 14 (1), 1-8, 2023
Computationally universal phase of quantum matter
R Raussendorf, C Okay, DS Wang, DT Stephen, HP Nautrup
Physical review letters 122 (9), 090501, 2019
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
Quantum enhancements for deep reinforcement learning in large spaces
S Jerbi, LM Trenkwalder, H Poulsen Nautrup, HJ Briegel, V Dunjko
PRX Quantum 2 (1), 010328, 2021
Fault-tolerant interface between quantum memories and quantum processors
H Poulsen Nautrup, N Friis, HJ Briegel
Nature communications 8 (1), 1321, 2017
Symmetry-protected topologically ordered states for universal quantum computation
HP Nautrup, TC Wei
Physical Review A 92 (5), 052309, 2015
Photonic architecture for reinforcement learning
F Flamini, A Hamann, S Jerbi, LM Trenkwalder, HP Nautrup, HJ Briegel
New Journal of Physics 22 (4), 045002, 2020
Operationally meaningful representations of physical systems in neural networks
HP Nautrup, T Metger, R Iten, S Jerbi, LM Trenkwalder, H Wilming, ...
Machine Learning: Science and Technology 3 (4), 045025, 2022
Symmetry-enriched topological order from partially gauging symmetry-protected topologically ordered states assisted by measurements
Y Li, H Sukeno, AP Mana, HP Nautrup, TC Wei
Physical Review B 108 (11), 115144, 2023
A framework for deep energy-based reinforcement learning with quantum speed-up
S Jerbi, H Poulsen Nautrup, LM Trenkwalder, B Dunjko
arXiv preprint arXiv:1910.12760, 2019
Variational measurement-based quantum computation for generative modeling
A Majumder, M Krumm, T Radkohl, HP Nautrup, S Jerbi, HJ Briegel
arXiv preprint arXiv:2310.13524, 2023
Quantum machine learning beyond kernel methods. Nat Commun 14
S Jerbi, LJ Fiderer, HP Nautrup, JM Kübler, HJ Briegel, V Dunjko
Hybrid discrete-continuous compilation of trapped-ion quantum circuits with deep reinforcement learning
F Preti, M Schilling, S Jerbi, LM Trenkwalder, HP Nautrup, F Motzoi, ...
Quantum 8, 1343, 2024
Measurement-based quantum computation from Clifford quantum cellular automata
HP Nautrup, HJ Briegel
arXiv preprint arXiv:2312.13185, 2023
Automated Gadget Discovery in Science
LM Trenkwalder, AL Incera, HP Nautrup, F Flamini, HJ Briegel
arXiv preprint arXiv:2212.12743, 2022
Parity Quantum Computing as -Plane Measurement-Based Quantum Computing
ID Smith, HP Nautrup, HJ Briegel
Physical Review Letters 132 (22), 220602, 2024
Automated gadget discovery in the quantum domain
LM Trenkwalder, A López-Incera, HP Nautrup, F Flamini, HJ Briegel
Machine Learning: Science and Technology 4 (3), 035043, 2023
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