Quantum Intelligence: Machine Learning Algorithms for Secure Quantum Networks
Murali Krishna Pasupuleti · 2025
Abstract: As quantum computing and quantum communication technologies advance, securing quantum networks against emerging cyber threats has become a critical challenge. Traditional cryptographic methods are vulnerable to quantum attacks, necessitating the development of AI-driven security solutions. This research explores the integration of machine learning (ML) algorithms with quantum cryptographic frameworks to enhance Quantum Key Distribution (QKD), post-quantum cryptography (PQC), and real-time threat detection. AI-powered quantum security mechanisms, including neural network-based quantum error correction (QEC), deep learning-driven anomaly detection, and reinforcement learning for adaptive encryption, provide a self-learning security model for quantum communication systems. The study also examines quantum blockchain integration, AI-optimized quantum network traffic management, and secure quantum biometric authentication as emerging trends in AI-enhanced quantum cybersecurity. Additionally, it evaluates industry adoption, policy considerations, and global quantum security initiatives across China, the US, the EU, and India. By addressing scalability, automation, and real-time quantum security monitoring, this research provides a roadmap for leveraging AI in next-generation secure quantum networks to enable fault-tolerant, self-healing cybersecurity frameworks. Keywords: Quantum intelligence, machine learning, secure quantum networks, AI-driven quantum cryptography, quantum key distribution, post-quantum cryptography, neural network-based quantum error correction, deep learning anomaly detection, reinforcement learning in quantum security, AI-driven quantum authentication, quantum blockchain security, quantum biometric authentication, quantum-enhanced AI cybersecurity, real-time quantum security monitoring, AI-optimized quantum routing, scalable quantum encryption, quantum cybersecurity policy, AI-powered post-quantum security, self-healing quantum networks, AI-driven quantum forensics.