EDP Sciences logo
Web of Conferences logo
Search
Menu
All issues Volume 295 (2024) EPJ Web of Conf., 295 (2024) 12002 References
Open Access
Issue
EPJ Web of Conf.
Volume 295, 2024
26th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2023)
Article Number 12002
Number of page(s) 8
Section Quantum Computing
DOI https://doi.org/10.1051/epjconf/202429512002
Published online 06 May 2024
  1. L. Lamata et al., Advances in Physics: X 3, 1457981 (2018) [CrossRef] [Google Scholar]
  2. Y. Liu, S. Arunachalam, K. Temme, Nature Physics 17, 1013 (2021) [CrossRef] [Google Scholar]
  3. M. Schönberger, S. Scherzinger, W. Mauerer, Ready to Leap (by Co-Design)? Join Order Optimisation on Quantum Hardware, in Proc. ACM SIGMOD/PODS (2023) [Google Scholar]
  4. K. Wintersperger, H. Safi, W. Mauerer, QPU-System Co-Design for Quantum HPC Accelerators, in Proc. 35th Int. Conf. on the Architecture of Computing Systems (Gesellschaft für Informatik, 2022), pp. 100–114, ISBN 978-3-031-21867-5 [Google Scholar]
  5. H. Safi, K. Wintersperger, W. Mauerer, Influence of HW-SW-Co-Design on Quantum Computing Scalability, in Proceedings of the IEEE Quantum Software Week (2023) [Google Scholar]
  6. F. Greiwe, T. Krüger, W. Mauerer, Effects of Imperfections on Quantum Algorithms: A Software Engineering Perspective, in Proc. IEEE Quantum Software Week (2023) [Google Scholar]
  7. W.A. de Jong et al., Phys. Rev. D 104, L051501 (2021) [CrossRef] [Google Scholar]
  8. K. Terashi, M. Kaneda, T. Kishimoto, M. Saito, R. Sawada, J. Tanaka, Computing and Software for Big Science 5, 1 (2021) [CrossRef] [Google Scholar]
  9. M. Schenk et al. (2022), arXiv:2209.11044 [Google Scholar]
  10. M.A. Nielsen, I.L. Chuang, Quantum Computation and Quantum Information (Cambridge University Press, Cambridge, 2010), ISBN 978-1-107-00217-3 [Google Scholar]
  11. L.K. Grover, A fast quantum mechanical algorithm for database search, in Proc. 20th annual ACM symposium on Theory of computing (1996), pp. 212–219 [Google Scholar]
  12. P.W. Shor, SIAM Review 41, 303 (1999) [NASA ADS] [CrossRef] [MathSciNet] [Google Scholar]
  13. T. Albash, D.A. Lidar, Rev. Mod. Phys. 90, 015002 (2018) [CrossRef] [Google Scholar]
  14. D. Aharonov et al., SIAM Review 50, 755 (2008) [CrossRef] [Google Scholar]
  15. W. Vinci, D.A. Lidar, npj Quantum Information 3, 38 (2017) [Google Scholar]
  16. A. Lucas, Frontiers in Physics 2 (2014) [CrossRef] [Google Scholar]
  17. S. Aaronson, A. Arkhipov, Theory of Computing 9, 143 (2013) [CrossRef] [Google Scholar]
  18. T. Krüger, W. Mauerer, QA-Based Software Components: An Experimental Case Study with SAT Solving, in Proc. IEEE/ACM 42nd ICSEW (2020), pp. 445–450 [Google Scholar]
  19. C.S. Hamilton et al., Phys. Rev. Lett. 119, 170501 (2017) [CrossRef] [PubMed] [Google Scholar]
  20. A. Deshpande et al., Science Advances 8, eabi7894 (2022) [CrossRef] [PubMed] [Google Scholar]
  21. L.S. Madsen et al., Nature 606, 75 (2022) [CrossRef] [PubMed] [Google Scholar]
  22. J.M. Arrazola, T.R. Bromley, Phys. Rev. Lett. 121, 030503 (2018) [CrossRef] [PubMed] [Google Scholar]
  23. A.J. Daley et al., Nature 607, 667 (2022) [CrossRef] [PubMed] [Google Scholar]
  24. K. Hornik, M. Stinchcombe, H. White, Neural Networks 2, 359 (1989) [CrossRef] [Google Scholar]
  25. A. Pérez-Salinas et al., Quantum 4, 226 (2020) [CrossRef] [Google Scholar]
  26. E. Farhi, A.W. Harrow (2019), arXiv:1602.07674 [Google Scholar]
  27. M. Franz et al., Uncovering instabilities in variational-quantum deep q-networks (2022), Journal of the Franklin Institute [Google Scholar]
  28. IonQ, IonQ (2023), https://ionq.com [Google Scholar]
  29. PASQAL, PASQAL (2023), https://www.pasqal.com [Google Scholar]
  30. K. Wintersperger et al., EPJ Quantum Technology 10, 32 (2023) [Google Scholar]
  31. IBM, IBM Quantum (2023), https://quantum-computing.ibm.com [Google Scholar]
  32. Xanadu, Xanadu (2023), https://www.xanadu.ai [Google Scholar]
  33. Qiskit contributors, Qiskit: An open-source framework for quantum computing (2023) [Google Scholar]
  34. T.S. Humble et al. (2022), arXiv:2203.07091 [Google Scholar]
  35. T. Schwägerl et al. (2023), arXiv:2303.13249 [Google Scholar]
  36. E. Farhi, J. Goldstone, S. Gutmann (2014), arXiv:1411.4028 [Google Scholar]
  37. S. Ebadi et al., Nature 595, 227 (2021) [CrossRef] [PubMed] [Google Scholar]
  38. K.N. Schymik et al., Phys. Rev. A 102, 063107 (2020) [CrossRef] [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.