Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Niels M. P. Neumann"'
Publikováno v:
Quantum Information Processing, 22(2):125. Springer Verlag
Quantum Information Processing, 22(2):125. Springer New York
Quantum Information Processing, 22(2):125. Springer New York
In this paper, we present implementations of an annealing-based and a gate-based quantum computing approach for finding the optimal policy to traverse a grid and compare them to a classical deep reinforcement learning approach. We extended these thre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::62f32d1b0f4adee69182498bfcc85839
https://cris.maastrichtuniversity.nl/en/publications/26ae8ab7-3320-4768-b106-cc849949687b
https://cris.maastrichtuniversity.nl/en/publications/26ae8ab7-3320-4768-b106-cc849949687b
Autor:
Niels M. P. Neumann, Robert S. Wezeman
Publikováno v:
Innovations for Community Services ISBN: 9783031066672
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::30898523df4532736116d8321707f6f7
https://doi.org/10.1007/978-3-031-06668-9_20
https://doi.org/10.1007/978-3-031-06668-9_20
Publikováno v:
First International Symposium on Applied Artificial Intelligence (ISAAI'19), München (Germany), 2019
Autor:
Alessandro Le Pera, Marine Desmons, Rudolf Saathof, Bob P.F. Dirks, Niels M. P. Neumann, Ivan Ferrario, Jaco Morits, Gert Witvoet, Harry de Man, Dorus de Lange, Arjan J. H. Meskers, Daniele Vito Finocchiaro
Publikováno v:
International Conference on Space Optics — ICSO 2020.
Due to the distance limitation of quantum communication via ground-based fibre networks, space-based quantum key distribution (QKD) is a viable solution to extend such networks over continental and, ultimately, over global distances. Compared to LEO,
Publikováno v:
2021 International Conference on Military Communication and Information Systems (ICMCIS), 1-8
STARTPAGE=1;ENDPAGE=8;TITLE=2021 International Conference on Military Communication and Information Systems (ICMCIS)
STARTPAGE=1;ENDPAGE=8;TITLE=2021 International Conference on Military Communication and Information Systems (ICMCIS)
Quantum computers have the potential to outshine classical alternatives in solving specific problems, under the assumption of mature enough hardware. A specific subset of these problems relate to military applications. In this paper we consider the s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8936fe0b98db5da29a191243fa6eeccb
https://cris.maastrichtuniversity.nl/en/publications/be0fe2a1-2984-4726-9fb4-2acc6f6d811d
https://cris.maastrichtuniversity.nl/en/publications/be0fe2a1-2984-4726-9fb4-2acc6f6d811d
Publikováno v:
Quantum Information Processing, 20(4)
Quantum key distribution (QKD) protocols allow for information theoretically secure distribution of (classical) cryptographic key material. However, due to practical limitations the performance of QKD implementations is somewhat restricted. For this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::12213db18b1178102b7c0c2efeda3166
https://ir.cwi.nl/pub/30776
https://ir.cwi.nl/pub/30776
Publikováno v:
Digitale Welt: das Wirtschaftsmagazin zur Digitalisierung, 2, 24-29
Everyday computers can be used to solve numerous tasks which are often too difficult for humans to do quickly. Whether it is finding the shortest route between your home and your work or automatically finding the solutions to puzzles such as sudoku
Autor:
Niels M. P. Neumann
Publikováno v:
Computational Science – ICCS 2021 ISBN: 9783030779795
ICCS (6)
ICCS (6)
Quantum computing has great potential for advancing machine learning algorithms beyond classical reach. Even though full-fledged universal quantum computers do not exist yet, its expected benefits for machine learning can already be shown using simul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b7a604c641b7722c795fa1092af8aae
https://doi.org/10.1007/978-3-030-77980-1_6
https://doi.org/10.1007/978-3-030-77980-1_6
Publikováno v:
Computational Science – ICCS 2020
Lecture Notes in Computer Science ISBN: 9783030504328
ICCS (6)
International Conference on Computational Science (ICCS)
Lecture Notes in Computer Science ISBN: 9783030504328
ICCS (6)
International Conference on Computational Science (ICCS)
In the near-term, the number of qubits in quantum computers will be limited to a few hundreds. Therefore, problems are often too large and complex to be run on quantum devices. By distributing quantum algorithms over different devices, larger problem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c7f695403f2bc8b70402b8f4bdf34e1c
https://ir.cwi.nl/pub/30469
https://ir.cwi.nl/pub/30469
Publikováno v:
Quantum Information Processing, 19(6)
Quantum Information Processing, 19(6):174. Springer
Quantum Information Processing, 19(6):174. Springer Verlag
Quantum Information Processing, 19(6):174. Springer
Quantum Information Processing, 19(6):174. Springer Verlag
Quantum machine learning has the potential to overcome problems that current classical machine learning algorithms face, such as large data requirements or long learning times. Sampling is one of the aspects of classical machine learning that might b