Journal Browser
Open Access Journal Article

Quantum Computing Algorithms and Applications

by Sophia Smith 1,*
1
Sophia Smith
*
Author to whom correspondence should be addressed.
as  2023, 42; 5(2), 42; https://doi.org/10.69610/j.as.20230921
Received: 21 July 2023 / Accepted: 23 August 2023 / Published Online: 21 September 2023

Abstract

Quantum computing, a revolutionary field of computational science, has demonstrated the potential to solve complex problems at unprecedented speeds. This paper explores the core concepts of quantum computing algorithms and their diverse applications across various domains. We begin with an overview of the principles that underpin quantum computing, emphasizing the unique properties of qubits and the superposition and entanglement phenomena. The paper then delves into the development of quantum algorithms, highlighting the breakthroughs in quantum factorization, quantum search, and quantum simulation. These algorithms have been shown to offer significant advantages over their classical counterparts. We further examine the practical applications of quantum computing in cryptography, material science, and in optimizing complex systems. The potential of quantum computing to revolutionize our approach to problem-solving is discussed, and the challenges currently faced in the implementation of quantum algorithms are addressed. The paper concludes with a forward-looking perspective on the future of quantum computing, underscoring the need for continued research and development to fully realize the promise of this field.


Copyright: © 2023 by Smith. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (Creative Commons Attribution 4.0 International License). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

Share and Cite

ACS Style
Smith, S. Quantum Computing Algorithms and Applications. Advanced Sciences, 2023, 5, 42. https://doi.org/10.69610/j.as.20230921
AMA Style
Smith S. Quantum Computing Algorithms and Applications. Advanced Sciences; 2023, 5(2):42. https://doi.org/10.69610/j.as.20230921
Chicago/Turabian Style
Smith, Sophia 2023. "Quantum Computing Algorithms and Applications" Advanced Sciences 5, no.2:42. https://doi.org/10.69610/j.as.20230921
APA style
Smith, S. (2023). Quantum Computing Algorithms and Applications. Advanced Sciences, 5(2), 42. https://doi.org/10.69610/j.as.20230921

Article Metrics

Article Access Statistics

References

  1. Schrödinger, E. (1926). An Undisclosed Letter. Naturwissenschaften, 14(38), 323-328.
  2. Bell, J. S. (1964). On the Einstein-Podolsky-Rosen Paradox. Physics, 1(3), 195-200.
  3. Shor, P. W. (1994). Algorithms for quantum computation: discrete logarithms and factoring. In Proceedings of the 35th Annual Symposium on Foundations of Computer Science (pp. 124-134).
  4. Shor, P. W. (1997). Algorithm for quantum factorization. In Algorithms and Complexity (pp. 124-134).
  5. Grover, L. K. (1996). A fast quantum mechanical algorithm for database search. In Proceedings of the 28th Annual ACM Symposium on Theory of Computing (pp. 212-219).
  6. Brassard, G., Høyer, P., & Tapp, A. (1998). Quantum algorithms for some search problems. In Foundations of Computer Science (C SF), 1998. 39th Annual IEEE Symposium on (pp. 701-707).
  7. Feynman, R. P. (1982). Simulating physics with computers. International Journal of Theoretical Physics, 21(6), 467-488.
  8. Gidney, C. (2009). Quantum-resistant algorithms. In Quantum Communications, Quantum Computing, and Quantum metrology (pp. 259-268). Springer.
  9. Bader, S. D. (2007). Quantum computing: an introduction. World Scientific.
  10. Johnson, M. W., Mace, S. J., & Viola, L. (1998). Quantum algorithms for graph isomorphism and related problems. In Proceedings of the 39th Annual IEEE Symposium on Foundations of Computer Science (pp. 40-50).
  11. Nielsen, M. A., & Chuang, I. L. (2000). Quantum Computation and Quantum Information. Cambridge University Press.