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An improved estimation of the RSA quantum breaking success rate

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

The security of RSA cryptosystem is based on the assumption that factorization is a difficult problem from the number theoretic point of view. But that statement does not hold with regard to quantum computers where massive parallelization of computations leads to qualitative speedup. The Shor's quantum factorization algorithm is one the most famous algorithms ever proposed. That algorithm has linear time complexity but is of probabilistic nature. It succeeds only when some random parameter fed at algorithm input has desired properties. It is well known that such parameters are found with probability not less than 1/2. However, the described in the paper numerical simulations prove that probability of such event exhibits grouping at some discrete levels above that limit. Thus, one may conclude that usage of the common bound leads to underestimation of the successful factorization probability. Empirical formulas on expected success probability introduced in the paper give rise to the more profound analysis of the Shor's algorithm classic part behaviour. The observed grouping still awaits for explanations based on number theory.

Original languageEnglish
Title of host publicationNetworked Digital Technologies - Second International Conference, NDT 2010, Proceedings
Pages234-240
Number of pages7
EditionPART 1
DOIs
Publication statusPublished - 2010
Event2nd International Conference on 'Networked Digital Technologies', NDT 2010 - Prague, Czech Republic
Duration: 7 Jul 20109 Jul 2010

Publication series

NameCommunications in Computer and Information Science
NumberPART 1
Volume87 CCIS
ISSN (Print)1865-0929

Conference

Conference2nd International Conference on 'Networked Digital Technologies', NDT 2010
Country/TerritoryCzech Republic
CityPrague
Period7/07/109/07/10

Keywords

  • Quantum computation
  • factorization

ASJC Scopus subject areas

  • General Computer Science
  • General Mathematics

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