Secure Communication Based On Key Generation With Quantum Reinforcement Learning

Year 2023, Volume: 12 Issue: 2, 22 - 41, 28.06.2023

Ercan Çağlar , İhsan Yılmaz

https://doi.org/10.55859/ijiss.1264169

Abstract

Data security and secure communication is one of the most important issues of today. In this study, a quantum-based
method for secure communication is proposed. In the proposed method, the necessary secret key in communication is generated
locally by each participant through quantum gates. The quantum gates are taught by using quantum reinforcement learning (QRL).
Proposed study is simulated using the Qiskit library for Python. Proposed study performs the learning action with an accuracy of
87.95% for 195 gates, 85.47% for 128 gates, 83.59% for 64 gates, 76.25% for 32 gates. As the key size increases, the performance
of the method increases. The participants don’t share the secret key in the presented method. Thus, the communication becomes
more secure. In the study, the method is also examined in terms of security. Security analysis shows that the proposed method
provide secure communication.

Keywords

quantum reinforcement learning, key generation, quantum key distribution, quantum cryptography

Thanks

This study is patented under contract TR 2021 019962 B

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