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Decrypting chaotic visual ciphers via quasi quantum neural networks (Q²NNs)

Gokul Manavalan1, Shlomi Arnon2

  • 1Electrical and Computer Engineering Department, Ben-Gurion University of the Negev, Be'er Sheva, 8441405, Israel. gokulm@post.bgu.ac.il.

Scientific Reports
|March 12, 2026
PubMed
Abstract

No abstract available in PubMed .

Keywords:
Arnold Cat MapChaotic CryptographyEntropy-based Cipher MetricsHilbert–Euclidean FusionHybrid Quantum-Classical LearningLogistic DiffusionPost-Quantum Visual DecryptionQuasi Quantum Neural Network (Q²NN)Secure Visual RegressionVariational Quantum Neural Networks (VQNN)

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