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Gradient Echo Quantum Memory in Warm Atomic Vapor
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Image Encryption Using Quantum 3D Mobius Scrambling and 3D Hyper-Chaotic Henon Map.

Ling Wang1, Qiwen Ran2, Junrong Ding2

  • 1School of Internet, Anhui University, Hefei 230039, China.

Entropy (Basel, Switzerland)
|December 23, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces a novel quantum 3D Mobius scrambling transform for secure image encryption. The quantum scrambling enhances security and performance compared to existing algorithms.

Keywords:
3D hyper-chaotic Henon mapquantum 3D Mobius scramblingquantum circuitsquantum image encryption

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Area of Science:

  • Quantum Computing
  • Cryptography
  • Image Processing

Background:

  • Image scrambling is crucial in encryption.
  • Existing methods have limitations in security and efficiency.

Purpose of the Study:

  • To propose a quantum 3D Mobius scrambling transform.
  • To develop a secure image encryption scheme using quantum methods.

Main Methods:

  • Quantum version of the 3D Mobius scrambling transform based on the QRCI model.
  • Integration with a 3D hyper-chaotic Henon map for key generation.
  • Scrambling of bit-planes and pixel positions, followed by XORing with a key image.

Main Results:

  • The proposed quantum scrambling transform alters both pixel positions and gray values.
  • The combined encryption scheme demonstrates high security and reliability.
  • Outperforms recent algorithms in key space, histogram variance, and correlation coefficient.

Conclusions:

  • The quantum 3D Mobius transform offers a robust approach to image encryption.
  • The integration with chaotic maps enhances diffusion and security.
  • This quantum encryption method provides superior performance for protecting image information.