Open Access
Issue
EPJ Web Conf.
Volume 251, 2021
25th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2021)
Article Number 03070
Number of page(s) 12
Section Offline Computing
DOI https://doi.org/10.1051/epjconf/202125103070
Published online 23 August 2021
  1. F. Bezrukov, M. Shaposhnikov, Journal of Experimental and Theoretical Physics 120, 335–343 (2015) [Google Scholar]
  2. P. Artoisenet, P. de Aquino, F. Maltoni, O. Mattelaer, Physical Review Letters 111 (2013) [Google Scholar]
  3. Tech. Rep. CMS-PAS-HIG-18-030, CERN, Geneva (2019), https://cds.cern.ch/ record/2675023 [Google Scholar]
  4. Tech. Rep. ATLAS-CONF-2020-058, CERN, Geneva (2020), https://cds.cern. ch/record/2743685 [Google Scholar]
  5. A. Wang, J. Chan, W. Guan, S. Sun, S. Wu, C. Zhou, M. Livny, F. Carminati, A.D. Meglio, Application of Quantum Machine Learning to High Energy Physics Analysis at LHC using IBM Quantum Computer Simulators and IBM Quantum Computer Hardware (2019) [Google Scholar]
  6. S.L. Wu, J. Chan, W. Guan, S. Sun, A. Wang, C. Zhou, M. Livny, F. Carminati, A. Di Meglio, A.C. Li et al., arXiv preprint arXiv:2012.11560 (2020) [Google Scholar]
  7. P. Nason, Journal of High Energy Physics 2004, 040 (2004) [Google Scholar]
  8. S. Frixione, P. Nason, C. Oleari, Journal of High Energy Physics 2007, 070 (2007) [Google Scholar]
  9. S. Alioli, P. Nason, C. Oleari, E. Reo, Journal of High Energy Physics 2010 (2010) [Google Scholar]
  10. T. Sjöstrand, S. Mrenna, P. Skands, Computer Physics Communications 178, 852 (2008) [Google Scholar]
  11. J. De Favereau, C. Delaere, P. Demin, A. Giammanco, V. Lemaitre, A. Mertens, The DELPHES 3 Collaboration, et al., Journal of High Energy Physics 2014, 57 (2014) [Google Scholar]
  12. M. Cacciari, G.P. Salam, G. Soyez, Journal of High Energy Physics 2008, 063 (2008) [Google Scholar]
  13. A. Blance, M. Spannowsky, arXiv preprint arXiv:2010.07335 (2020) [Google Scholar]
  14. K. Terashi, M. Kaneda, T. Kishimoto, M. Saito, R. Sawada, J. Tanaka, Computing and Software for Big Science 5, 1 (2021) [Google Scholar]
  15. I. Goodfellow, Y. Bengio, A. Courville, Deep Learning (MIT Press, 2016), http:// www.deeplearningbook.org [Google Scholar]
  16. M. Schuld, N. Killoran, Phys. Rev. Lett. 122, 040504 (2019) [Google Scholar]
  17. B.E. Boser, I.M. Guyon, V.N. Vapnik, Proceedings of the fifth annual workshop on Computational learning theory (1992) [Google Scholar]
  18. V. Havlícek, A. Córcoles, K. Temme, et al., Nature 567, 209 (2019) [Google Scholar]
  19. K. Koutroumbas, S. Theodoridis, Pattern Recognition (Elsevier Science, 2008), ISBN 9780080949123, https://books.google.es/books?id=QgD-3Tcj8DkC [Google Scholar]
  20. M. Schuld, A. Bocharov, K.M. Svore, N. Wiebe, Phys. Rev. A 101, 032308 (2020) [Google Scholar]
  21. A. Abbas, D. Sutter, C. Zoufal, A. Lucchi, A. Figalli, S. Woerner (2020), 2011.00027 [Google Scholar]
  22. M. Schuld, V. Bergholm, C. Gogolin, J. Izaac, N. Killoran, Phys. Rev. A 99, 032331 (2019) [Google Scholar]
  23. A. Pérez-Salinas, A. Cervera-Lierta, E. Gil-Fuster, J.I. Latorre, Quantum 4, 226 (2020) [Google Scholar]
  24. A. Mott, J. Job, J.R. Vlimant, D. Lidar, M. Spiropulu, Nature 550, 375 (2017) [Google Scholar]
  25. A. Zlokapa, A. Mott, J. Job, J.R. Vlimant, D. Lidar, M. Spiropulu, Phys. Rev. A 102, 062405 (2020) [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.