Vedran Dunjko
Vedran Dunjko
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Machine learning & artificial intelligence in the quantum domain: a review of recent progress
V Dunjko, HJ Briegel
Reports on Progress in Physics 81 (7), 074001, 2018
On the convergence of projective-simulation–based reinforcement learning in Markov decision processes
WL Boyajian, J Clausen, LM Trenkwalder, V Dunjko, HJ Briegel
Quantum machine intelligence 2, 1-21, 2020
Quantum-enhanced machine learning
V Dunjko, JM Taylor, HJ Briegel
Physical review letters 117 (13), 130501, 2016
Tensorflow quantum: A software framework for quantum machine learning
M Broughton, G Verdon, T McCourt, AJ Martinez, JH Yoo, SV Isakov, ...
arXiv preprint arXiv:2003.02989, 2020
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
Quantum speedup for active learning agents
GD Paparo, V Dunjko, A Makmal, MA Martin-Delgado, HJ Briegel
Physical Review X 4 (3), 031002, 2014
Quantum digital signatures without quantum memory
V Dunjko, P Wallden, E Andersson
Physical review letters 112 (4), 040502, 2014
Optimizing quantum error correction codes with reinforcement learning
HP Nautrup, N Delfosse, V Dunjko, HJ Briegel, N Friis
Quantum 3, 215, 2019
Experimental demonstration of quantum digital signatures using phase-encoded coherent states of light
PJ Clarke, RJ Collins, V Dunjko, E Andersson, J Jeffers, GS Buller
Nature communications 3 (1), 1174, 2012
Experimental quantum speed-up in reinforcement learning agents
V Saggio, BE Asenbeck, A Hamann, T Strömberg, P Schiansky, V Dunjko, ...
Nature 591 (7849), 229-233, 2021
Quantum agents in the gym: a variational quantum algorithm for deep q-learning
A Skolik, S Jerbi, V Dunjko
Quantum 6, 720, 2022
Parametrized quantum policies for reinforcement learning
S Jerbi, C Gyurik, S Marshall, H Briegel, V Dunjko
Advances in Neural Information Processing Systems 34, 28362-28375, 2021
Quantum digital signatures with quantum-key-distribution components
P Wallden, V Dunjko, A Kent, E Andersson
Physical Review A 91 (4), 042304, 2015
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
Reinforcement learning for optimization of variational quantum circuit architectures
M Ostaszewski, LM Trenkwalder, W Masarczyk, E Scerri, V Dunjko
Advances in Neural Information Processing Systems 34, 18182-18194, 2021
Blind quantum computing with weak coherent pulses
V Dunjko, E Kashefi, A Leverrier
Physical review letters 108 (20), 200502, 2012
Composable security of delegated quantum computation
V Dunjko, JF Fitzsimons, C Portmann, R Renner
Advances in Cryptology–ASIACRYPT 2014: 20th International Conference on the …, 2014
A non-review of quantum machine learning: trends and explorations
V Dunjko, P Wittek
Quantum Views 4, 32, 2020
Experimental demonstration of kilometer-range quantum digital signatures
RJ Donaldson, RJ Collins, K Kleczkowska, R Amiri, P Wallden, V Dunjko, ...
Physical Review A 93 (1), 012329, 2016
Performance comparison of optimization methods on variational quantum algorithms
X Bonet-Monroig, H Wang, D Vermetten, B Senjean, C Moussa, T Bäck, ...
Physical Review A 107 (3), 032407, 2023
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