| Issue |
EPJ Web Conf.
Volume 350, 2026
International Conference on Applied Sciences and Innovation (ICASIN’2025)
|
|
|---|---|---|
| Article Number | 01001 | |
| Number of page(s) | 8 | |
| Section | Advanced Energy Systems and Technologies | |
| DOI | https://doi.org/10.1051/epjconf/202635001001 | |
| Published online | 03 February 2026 | |
https://doi.org/10.1051/epjconf/202635001001
Quantum Image Encryption using Quantum Image Representations
LMPS, Department of Physics, Ibn Tofail University, Kenitra, Morocco
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Published online: 3 February 2026
Since their introduction, numerous quantum image encryption methods have been developed. As we shall demonstrate, protecting visual information against classical and quantum threats depends on representations. In this paper, we identify the essential components of quantum encryption algorithms and explain a variety of quantum image representations with different levels of qubit efficiency, computational complexity, and security. The paper also explores the favourable and unfavourable aspects of hybrid, chaos-based, quantum transform-based, and DNA-based quantum image encryption schemes. The security analysis focuses on noise tolerance and scalability. This involves aspects such as key space size, resistance to various attacks, and calculation efficiency. Meanwhile, potential areas for investigation include robust algorithms, hybrid systems and reducing decoding errors. We also address the implementation difficulties involved, including the necessary hardware and decoding error reduction. Classical and quantum techniques, as well as more advanced quantum equipment, are considered too. The evaluation calls for uniform policies and realistic responses and emphasises how quantum image encryption could transform information security in the quantum era. and realistic answers and highlights how quantum image encryption may change information safety within the quantum generation.
Key words: Quantum image encryption / quantum image representation / NEQR / FRQI / GQIR
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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