4.7 Article

Analysis and improvement of the quantum Arnold image scrambling

Journal

QUANTUM INFORMATION PROCESSING
Volume 13, Issue 7, Pages 1545-1551

Publisher

SPRINGER
DOI: 10.1007/s11128-014-0749-3

Keywords

Arnold image scrambling; Quantum computation; Quantum image processing

Funding

  1. Beijing Municipal Education Commission Science and Technology Development Plan [KM201310005021]
  2. Graduate Technology Fund of BJUT [YKJ-2013-10282]

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We investigate the quantum Arnold image scrambling proposed by Jiang et al. (Quantum Inf Process 13(5):1223-1236, 2014). It is aimed to realize Arnold and Fibonacci image scrambling in quantum computer. However, the algorithm does not perceive the particularities of mod 2(n), multiply by 2, and subtraction in binary arithmetic. In this paper, a possible simplified version is presented based on 3 theorems and a corollary which represent the particularities of binary arithmetic. The theoretical analysis indicates that the network complexity is dropped from 140n similar to 168n to 28n similar to 56n and the unitarity of circuits is not destroyed.

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