Towards European standards for quantum technologies O van Deventer, N Spethmann, M Loeffler, M Amoretti, R van den Brink, ... EPJ Quantum Technology 9 (1), 33, 2022 | 22 | 2022 |
State preparation by shallow circuits using feed forward H Buhrman, M Folkertsma, B Loff, NMP Neumann arXiv preprint arXiv:2307.14840, 2023 | 21 | 2023 |
Subjective and objective assessment of full bandwidth speech quality JG Beerends, NMP Neumann, EL van den Broek, AL Casanovas, ... IEEE/ACM Transactions on Audio, Speech, and Language Processing 28, 440-449, 2019 | 19 | 2019 |
Machine learning in the quantum era N Neumann, F Phillipson, R Versluis Digitale Welt 3, 24-29, 2019 | 19 | 2019 |
Quantum Computing for Military Applications NMP Neumann, MPP van Heesch, F Phillipson, AAP Smallegange 2021 International Conference on Military Communication and Information …, 2021 | 18 | 2021 |
Multi-agent reinforcement learning using simulated quantum annealing NMP Neumann, PBUL de Heer, I Chiscop, F Phillipson Computational Science–ICCS 2020: 20th International Conference, Amsterdam …, 2020 | 17 | 2020 |
GEOQKD: quantum key distribution from a geostationary satellite B Dirks, I Ferrario, A Le Pera, DV Finocchiaro, M Desmons, D de Lange, ... International Conference on Space Optics—ICSO 2020 11852, 222-236, 2021 | 16 | 2021 |
Vision on next level quantum software tooling RF Van den Brink, NMP Neumann, F Phillipson Computation Tools, 2019 | 16 | 2019 |
Quantum Communication for Military Applications NMP Neumann, MPP van Heesch, P de Graaf arXiv preprint arXiv:2011.04989, 2020 | 15 | 2020 |
Evaluating the Q-score of Quantum Annealers W van der Schoot, D Leermakers, R Wezeman, N Neumann, F Phillipson 2022 IEEE International Conference on Quantum Software (QSW), 9-16, 2022 | 13 | 2022 |
Quantum computer-assisted global optimization in geophysics illustrated with stack-power maximization for refraction residual statics estimation M Dukalski, D Rovetta, S van der Linde, M Möller, N Neumann, ... Geophysics 88 (2), V75-V91, 2023 | 12 | 2023 |
Optimizing the decoy-state BB84 QKD protocol parameters T Attema, JW Bosman, NMP Neumann Quantum Information Processing 20 (4), 154, 2021 | 12 | 2021 |
Imperfect distributed quantum phase estimation NMP Neumann, R van Houte, T Attema Computational Science–ICCS 2020: 20th International Conference, Amsterdam …, 2020 | 11 | 2020 |
Classification of hybrid quantum-classical computing F Phillipson, N Neumann, R Wezeman International Conference on Computational Science, 18-33, 2023 | 9 | 2023 |
Quantum reinforcement learning: Comparing quantum annealing and gate-based quantum computing with classical deep reinforcement learning NMP Neumann, PBUL de Heer, F Phillipson Quantum Information Processing 22 (2), 125, 2023 | 9 | 2023 |
Distributed quantum machine learning NMP Neumann, RS Wezeman International Conference on Innovations for Community Services, 281-293, 2022 | 9 | 2022 |
Distance-based classifier on the Quantum Inspire R Wezeman, N Neumann, F Phillipson First International Symposium on Applied Artificial Intelligence (ISAAI’19 …, 2019 | 9 | 2019 |
Evaluating three levels of quantum metrics on quantum-inspire hardware W van der Schoot, R Wezeman, PT Eendebak, NMP Neumann, ... Quantum Information Processing 22 (12), 451, 2023 | 6 | 2023 |
Noisy decoding by shallow circuits with parities: classical and quantum J Briët, H Buhrman, D Castro-Silva, NMP Neumann arXiv preprint arXiv:2302.02870, 2023 | 6 | 2023 |
Classification using a two-qubit quantum chip NMP Neumann International Conference on Computational Science, 74-83, 2021 | 6 | 2021 |