Abstract: The accelerating advancement of quantum computing poses an imminent threat to classical cryptographic schemes, rendering traditional cloud security frameworks increasingly vulnerable. To address this challenge, this study proposes a post-quantum secure cloud architecture that integrates number-theoretic cryptography, artificial intelligence, and blockchain protocols within a scalable deployment model. The framework is built upon lattice-, hash-, and code-based cryptographic primitives whose security is grounded in number-theoretic hardness assumptions, while AI-driven reinforcement learning and deep learning mechanisms provide adaptive resilience through anomaly detection and optimized key management. Blockchain is employed to establish decentralized trust and immutability, supported by post-quantum signature schemes and quantum-safe ledgers, thereby ensuring verifiability across distributed environments. The methodology combines theoretical modeling, simulation environments, and multi-cloud validation to evaluate security, performance, and scalability. Anticipated results include measurable improvements in quantum resistance, reduced latency through AI-optimized cryptographic parameters, and sustained blockchain throughput under post-quantum constraints. Comparative analysis against classical and quantum-ready baselines highlights the superiority of the proposed system in maintaining privacy, efficiency, and interoperability. The findings suggest significant implications for both academia and industry by providing a unified framework capable of safeguarding critical infrastructures in finance, healthcare, and governance. This research contributes to the broader discourse on quantum-safe cybersecurity by demonstrating how interdisciplinary integration—spanning number theory, artificial intelligence, blockchain, and cloud computing—can establish resilient, future-proof digital ecosystems. Keywords Post-quantum cryptography, cloud security, AI-driven cryptography, blockchain protocols, number theory, quantum computing, scalable privacy, decentralized trust, adaptive security, multi-cloud architecture
Murali Krishna Pasupuleti (Mon,) studied this question.