EDP Sciences logo
Web of Conferences logo
Search
Menu
All issues Volume 430 (2023) E3S Web Conf., 430 (2023) 01073 References
Open Access
Issue
E3S Web Conf.
Volume 430, 2023
15th International Conference on Materials Processing and Characterization (ICMPC 2023)
Article Number 01073
Number of page(s) 8
DOI https://doi.org/10.1051/e3sconf/202343001073
Published online 06 October 2023
  1. Biamonte, Jacob, et al. Nature, 549(7671), 195-202,(2017). [CrossRef] [PubMed] [Google Scholar]
  2. Ciliberto, Carlo, et al. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 474(2209), 20170551 (2018):. [CrossRef] [PubMed] [Google Scholar]
  3. Mezquita, Yeray, et al. “A review of k-nn algorithm based on classical and quantum machine learning.” Distributed Computing and Artificial Intelligence, Special Sessions, 17th International Conference. Springer International Publishing,(2021). [Google Scholar]
  4. Singamaneni, Kranthi Kumar, Pasala Sanyasi Naidu, and Pasupuleti Venkata Siva Kumar. J. Eur. Systèmes Autom 51, 283, (2018). [Google Scholar]
  5. Huang, H. Y., et al. arXiv preprint arXiv:2011.01938 12,2631, (2021). [Google Scholar]
  6. Schuld, Maria, Ilya Sinayskiy, and Francesco Petruccione. Contemporary Physics 56(2), 172-185,(2015). [CrossRef] [Google Scholar]
  7. Singamaneni, Kranthi Kumar, and Pasala Naidu. Ingénierie des Systèmes d'Information 23(5) (2018). [Google Scholar]
  8. Steane, Andrew., Reports on Progress in Physics 61(2),117, (1998). [CrossRef] [Google Scholar]
  9. Kamata, Syo, et al. Physical Review D 107(4), 045019,(2023):. [CrossRef] [Google Scholar]
  10. Singamaneni, Kranthi Kumar, and Pasala Sanyasi Naidu. Rev. d'Intelligence Artif. 33(1), 33-37,(2019). [CrossRef] [Google Scholar]
  11. Jammer, Max. “Philosophy of Quantum Mechanics. the interpretations of quantum mechanics in historical perspective.” (1974). [Google Scholar]
  12. E. Poornima, Srinivasulu Sirisala, P. Dileep Kumar Reddy, & Ramesh G.. International Journal of Intelligent Systems and Applications in Engineering, 10(4), 634–640, (2022). [Google Scholar]
  13. Reddy, N.M., Ramesh, G., Kasturi, S.B. et al. Appl Nanosci 13, 2449–2461 (2023). https://doi.org/10.1007/s13204-021-02174-y. [CrossRef] [Google Scholar]
  14. Thirupathi Nallella, Madhavi K, Ramesh G, Priya K, Data Storage in Cloud Using Key-Policy Attribute-Based Temporary Keyword Search Scheme (KP-ABTKS). 10.1007/978-3-030-33846-6_67, (2020). [Google Scholar]
  15. Singamaneni, Kranthi Kumar, et al. Sensors 22(18), 6741, (2022). [CrossRef] [PubMed] [Google Scholar]
  16. Dhanke Jyoti Atul, R. Kamalraj, G. Ramesh, K. Sakthidasan Sankaran, Sudhir Sharma, Syed Khasim, Microprocessors and Microsystems, 82, 2021, 103741, (2021) [CrossRef] [Google Scholar]
  17. Cuffaro, Michael E. “Grete Hermann, quantum mechanics, and the evolution of Kantian philosophy.” Women in the History of Analytic Philosophy: Selected Papers of the Tilburg–Groningen Conference, 2019. Cham: Springer International Publishing, 2023. [Google Scholar]
  18. Kuipers, Folkert. arXiv preprint arXiv:2301(05467) (2023). [Google Scholar]
  19. Singamaneni, Kranthi Kumar, et al. Electronics 11(21), 3510, (2022). [CrossRef] [Google Scholar]
  20. Jaeger, Gregg. Quantum Information: An Overview (2007): 203-217. [Google Scholar]
  21. Poonia, Ramesh C., and Manish Kalra, Journal of Information and Optimization Sciences 37(2), 279-283, (2016). [CrossRef] [Google Scholar]
  22. Singamaneni, Kranthi Kumar, and Sanyasi Naidu Pasala. International Journal of Knowledge-Based and Intelligent Engineering Systems 24(2), 145-156, (2020). [CrossRef] [Google Scholar]
  23. Hardy, Yorick, and Willi H. Steeb. Classical and quantum computing: with C++ and Java simulations. Birkhäuser, (2012). [Google Scholar]
  24. Tang, Wei, et al., Proceedings of the 26th ACM International conference on architectural support for programming languages and operating systems, (2021). [Google Scholar]
  25. Manin, Yuri I., Asterisque-Societe Mathematique De France 266, 375-404, (2000). [Google Scholar]
  26. Singamaneni, Kranthi Kumar, et al, Sensors 21(21), 7300, (2021). [CrossRef] [PubMed] [Google Scholar]
  27. Kitaev, Alexei Yu, Alexander Shen, and Mikhail N. Vyalyi. Classical and quantum computation. American Mathematical Soc., 47, (2002). [Google Scholar]
  28. Galindo, Alberto, and Miguel Angelo Martin-Delgado, Reviews of Modern Physics 74(2), 347, (2002). [CrossRef] [Google Scholar]
  29. Gyongyosi, Laszlo, and Sandor Imre., Computer Science Review 31, 51-71,(2019). [CrossRef] [Google Scholar]
  30. Singamaneni, Kranthi Kumar, and P. Sanyasi Naidu, International Journal of Advanced Intelligence Paradigms, 22(3-4), 336-347, (2022). [CrossRef] [Google Scholar]
  31. Dragoman, Daniela, and Mircea Dragoman. Quantum-classical analogies. Vol. 92. Berlin: Springer, (2004). [CrossRef] [Google Scholar]
  32. Khan, Tariq M., and Antonio Robles-Kelly. “Machine learning: Quantum vs classical.” IEEE Access 8 (2020): 219275-219294. [CrossRef] [Google Scholar]
  33. Rieffel, Eleanor G., and Wolfgang H. Polak. Quantum computing: A gentle introduction. MIT Press, (2011). [Google Scholar]
  34. Gruska, Jozef. Quantum computing. Vol. 2005. London: McGraw-Hill, (1999). [Google Scholar]
  35. Singamaneni, Kranthi Kumar, et al., Security and Communication Networks (2022). [Google Scholar]
  36. Klco, Natalie, et al., Physical Review A 98(3), 032331,(2018). [CrossRef] [Google Scholar]
  37. Chuang, Isaac L., and Yoshihisa Yamamoto., Physical Review A 52(5), 3489, (1995). [CrossRef] [PubMed] [Google Scholar]
  38. Bandyopadhyay, S., Superlattices and Microstructures 37(2), 77-86,(2005). [CrossRef] [Google Scholar]
  39. Bernhardt, Chris. Quantum computing for everyone. Mit Press, 2019. [CrossRef] [Google Scholar]
  40. Cacciapuoti, Angela Sara, et al., IEEE Network 34(1),137-143,(2019). [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.