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A Numerical Simulation of Quantum Factorization Success Probability

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Internet – Technical Development and Applications

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 64))

Abstract

The quantum factorization is probably the most famous algorithm in quantum computation. The algorithm succeeds only when some random number with an even order relative to factorized composite integer is fed as the input to the quantum order finding algorithm. Moreover, post processing of the quantum measurement recovers the correct order only for some subset of possible values. It is well known that numbers with even orders are found with probability not less than 1/2. However, numerical simulation proves that probability of such event exhibits grouping on some discrete levels above that limit. Thus, one may conclude that usage of the lowest estimate leads to underestimation of the successful factorization probability. The understanding of the observed grouping requires further research in that field.

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References

  1. Shor, P.W.: Polynomial-time algorithms for prime factorization and discrete logarithms on a quantum computer. SIAM J. Sci. Comput. 26, 1484–1509 (1997)

    MATH  MathSciNet  Google Scholar 

  2. Grover, L.K.: A fast quantum mechanical algorithm for database search. In: 28th Annual ACM Symposium on the Theory of Computing, pp. 212–219 (1996)

    Google Scholar 

  3. Gerjuoy, E.: Shor’s factoring algorithm and modern cryptography. An illustration of the capabilities inherent in quantum computers. A. J. Phys. 73, 521–540 (2005)

    Article  Google Scholar 

  4. Knill, E.: On Shor’s quantum factor finding algorithm: Increasing the probability of success and tradeoffs involving the Fourier Transform modulus, Technical Report LAUR-95-3350, Los Alamos Laboratory (1995), http://www.eskimo.com/~knill/cv/reprints/knill:qc1995c.ps

  5. McAnally, D.: A refinement of Shor’s algorithm (2001), http://xxx.lanl.gov/pdf/quant-ph/0112055

  6. Bourdon, P.S., Williams, H.T.: Probability estimates for Shor’s algorithm. Quant. Inf. Comput. 7, 522–550 (2007)

    MATH  MathSciNet  Google Scholar 

  7. Ekert, A., Jozsa, R.: Quantum computation and Shor’s factoring algorithm. Rev. Mod. Phys. 68, 733–753 (1996)

    Article  MathSciNet  Google Scholar 

  8. Nielsen, M.A., Chuang, I.L.: Quantum Computation and Quantum Information. Cambridge University Press, Cambridge (2000)

    MATH  Google Scholar 

  9. Desurvire, E.: Classical and Quantum Information Theory. Cambridge University Press, Cambridge (2009)

    MATH  Google Scholar 

  10. Vandersypen, L.M.K., Steffen, M., Breyta, G., Yannoni, C.S., Sherwood, M.H., Chuang, I.L.: Experimental realization of Shor’s quantum factoring algorithm using nuclear magnetic resonance. Nature 414, 883–887 (2001)

    Article  Google Scholar 

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Zawadzki, P. (2009). A Numerical Simulation of Quantum Factorization Success Probability. In: Tkacz, E., Kapczynski, A. (eds) Internet – Technical Development and Applications. Advances in Intelligent and Soft Computing, vol 64. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-05019-0_24

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  • DOI: https://doi.org/10.1007/978-3-642-05019-0_24

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-05018-3

  • Online ISBN: 978-3-642-05019-0

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