Cited by 1,354Quantum Computing Algorithms and ArchitectureQuantum Information and CryptographyQuantum Mechanics and Applications

Quantum computation and Shor's factoring algorithm

Ekert, Artur, Jozsa, Richard·1996·Reviews of Modern Physics

Abstract

Current technology is beginning to allow us to manipulate rather than just observe individual quantum phenomena. This opens up the possibility of exploiting quantum effects to perform computations beyond the scope of any classical computer. Recently Peter Shor discovered an efficient algorithm for factoring whole numbers, which uses characteristically quantum effects. The algorithm illustrates the potential power of quantum computation, as there is no known efficient classical method for solving this problem. The authors give an exposition of Shor's algorithm together with an introduction to quantum computation and complexity theory. They discuss experiments that may contribute to its practical implementation. [S0034-6861(96)00303-0]

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Crossref · 10.1103/revmodphys.68.733

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Authors
Ekert, A., & Jozsa, R.
Affiliations
University of Oxford (GB)
Venue
Reviews of Modern Physics
Published
1996-07-01
Volume
68
Issue
3
Pages
733-753
ISSN
  • 0034-6861 (ISSN-L)
  • 1539-0756
OpenAlex
W1979260239
Cited by
1,354
References
66
Citations by year
2026: 26 · 2025: 52 · 2024: 42 · 2023: 40 · 2022: 35 · 2021: 37 · 2020: 35 · 2019: 26 · 2018: 15 · 2017: 25 · 2016: 36 · 2015: 19 · 2014: 24 · 2013: 40 · 2012: 28
FWCI
81.72
Type
journal article
Language
en
Open access
closed
Locations
  • Reviews of Modern Physics (publishedVersion)
  • Explore Bristol Research (submittedVersion)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Quantum Computing Algorithms and Architecture
  • Physical Sciences › Computer Science › Artificial Intelligence › Quantum Information and Cryptography
  • Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Quantum Mechanics and Applications
Keywords
quantum computing, Shor's algorithm, integer factorization, quantum algorithms, computational complexity theory, quantum computing hardware

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