Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Cenk Tüysüz"'
Autor:
Alberto Di Meglio, Karl Jansen, Ivano Tavernelli, Constantia Alexandrou, Srinivasan Arunachalam, Christian W. Bauer, Kerstin Borras, Stefano Carrazza, Arianna Crippa, Vincent Croft, Roland de Putter, Andrea Delgado, Vedran Dunjko, Daniel J. Egger, Elias Fernández-Combarro, Elina Fuchs, Lena Funcke, Daniel González-Cuadra, Michele Grossi, Jad C. Halimeh, Zoë Holmes, Stefan Kühn, Denis Lacroix, Randy Lewis, Donatella Lucchesi, Miriam Lucio Martinez, Federico Meloni, Antonio Mezzacapo, Simone Montangero, Lento Nagano, Vincent R. Pascuzzi, Voica Radescu, Enrique Rico Ortega, Alessandro Roggero, Julian Schuhmacher, Joao Seixas, Pietro Silvi, Panagiotis Spentzouris, Francesco Tacchino, Kristan Temme, Koji Terashi, Jordi Tura, Cenk Tüysüz, Sofia Vallecorsa, Uwe-Jens Wiese, Shinjae Yoo, Jinglei Zhang
Publikováno v:
PRX Quantum, Vol 5, Iss 3, p 037001 (2024)
Quantum computers offer an intriguing path for a paradigmatic change of computing in the natural sciences and beyond, with the potential for achieving a so-called quantum advantage—namely, a significant (in some cases exponential) speedup of numeri
Externí odkaz:
https://doaj.org/article/7b1949bdccb94d2cb85449d08f6e2b1f
Publikováno v:
PRX Quantum, Vol 5, Iss 3, p 030314 (2024)
Geometric quantum machine learning based on equivariant quantum neural networks (EQNNs) recently appeared as a promising direction in quantum machine learning. Despite encouraging progress, studies are still limited to theory, and the role of hardwar
Externí odkaz:
https://doaj.org/article/dfe02cb815ae46f580ced6be5c578f1f
Publikováno v:
Quantum Computer Music ISBN: 9783031139086
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a6e5059c35bc9c08b469d1fb791828fd
https://doi.org/10.1007/978-3-031-13909-3_17
https://doi.org/10.1007/978-3-031-13909-3_17
Autor:
Jean-Roch Vlimant, Kristiane Novotny, Cenk Tüysüz, Carla Rieger, Daniel Dobos, Richard Forster, Sofia Vallecorsa, B. Demirkoz, K. Potamianos
Publikováno v:
Quantum Machine Intelligence, 3 (2)
The Large Hadron Collider (LHC) at the European Organisation for Nuclear Research (CERN) will be upgraded to further increase the instantaneous rate of particle collisions (luminosity) and become the High Luminosity LHC (HL-LHC). This increase in lum
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::83f207281d2305d294d412e31367fc6b
https://hdl.handle.net/20.500.11850/518886
https://hdl.handle.net/20.500.11850/518886
Autor:
Jean-Roch Vlimant, Sofia Vallecorsa, Federico Carminati, B. Demirkoz, K. Potamianos, Fabio Fracas, Carla Rieger, Kristiane Novotny, Cenk Tüysüz, Daniel Dobos
Publikováno v:
PoS: Proceedings of Science, 390
40th International Conference on High Energy Physics
Scopus-Elsevier
40th International Conference on High Energy Physics
Scopus-Elsevier
The expected increase in simultaneous collisions creates a challenge for accurate particle track reconstruction in High Luminosity LHC experiments. Similar challenges can be seen in non-HEP trajectory reconstruction use-cases, where tracking and trac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fecea9bd2c05658f656916c76f75fcfe
Autor:
Jean-Roch Vlimant, Cenk Tüysüz, Daniel Dobos, B. Demirkoz, K. Potamianos, Fabio Fracas, Kristiane Novotny, Federico Carminati, Sofia Vallecorsa
Publikováno v:
EPJ Web of Conferences, Vol 245, p 09013 (2020)
Accurate determination of particle track reconstruction parameters will be a major challenge for the High Luminosity Large Hadron Collider (HL-LHC) experiments. The expected increase in the number of simultaneous collisions at the HL-LHC and the resu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f9181065eb10a7577557ce74f665ad9b
https://www.epj-conferences.org/articles/epjconf/pdf/2020/21/epjconf_chep2020_09013.pdf
https://www.epj-conferences.org/articles/epjconf/pdf/2020/21/epjconf_chep2020_09013.pdf
Autor:
Daniel Dobos, Cenk Tüysüz, Jean-Roch Vlimant, Kristiane Novotny, Carla Rieger, Sofia Vallecorsa, B. Demirkoz, K. Potamianos
Publikováno v:
EPJ Web of Conferences, Vol 251, p 03065 (2021)
The High Luminosity Large Hadron Collider (HL-LHC) at CERN will involve a significant increase in complexity and sheer size of data with respect to the current LHC experimental complex. Hence, the task of reconstructing the particle trajectories will
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::af319874d1a56f3994daec9b002eeff3
https://doi.org/10.1051/epjconf/202125103065
https://doi.org/10.1051/epjconf/202125103065