Generating high-quality random numbers is essential for cryptography, statistical simulations, and cybersecurity. While pseudo-random number generators (PRNGs) are computationally efficient, their deterministic nature introduces potential security vulnerabilities. Recent research has explored chaotic systems as entropy sources due to their sensitivity to initial conditions-a key property for randomness generation. An emerging direction involves leveraging chaos in quantum systems. This paper proposes a quantum-inspired PRNG based on the Quantum Kicked Rotor (QKR), a well-known model in quantum chaos exhibiting complex dynamics such as dynamical localization. The method simulates the QKR and extracts pseudo-random sequences through momentum basis measurements. The generated sequences are evaluated for statistical quality, including the NIST 800-22 standard, which passed all 15 test. The sequences exhibit strong non-periodicity, a critical property for secure cryptographic applications. The proposed approach combines the unpredictability of quantum chaos with the scalability of classical simulation, offering a practical and efficient alternative for secure random number generation.
Pseudo-Random Number Generation Based on Quantum Kicked Rotor Dynamics
Taukhid W. Broto,S. Rustad,A. Z. Fanani,Sri Winarno,De Rosal Ignatius Moses Setiadi
Published 2025 in 2025 IEEE 2nd International Conference on Cryptography, Informatics, and Cybersecurity (ICoCICs)
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2025
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2025 IEEE 2nd International Conference on Cryptography, Informatics, and Cybersecurity (ICoCICs)
- Publication date
2025-10-22
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