THE CONVERGENCE OF AI AND QUANTUM COMPUTING TRANSFORMING CRYPTOGRAPHIC SECURITY

Santiago, Fernández and Olivia, Carter (2024) THE CONVERGENCE OF AI AND QUANTUM COMPUTING TRANSFORMING CRYPTOGRAPHIC SECURITY. Journal of Engineering, Mechanics and Modern Architecture, 3 (12). pp. 48-61. ISSN 2181-4384

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Abstract

The convergence of Artificial Intelligence (AI) and Quantum Computing is poised to revolutionize the field of cryptographic security, offering unprecedented advancements in both computational power and security capabilities. While traditional cryptographic methods are increasingly vulnerable to attacks from powerful quantum computers, AI-driven approaches combined with quantum technologies promise to create robust, adaptive security frameworks. This paper explores the synergistic potential of AI and quantum computing in transforming cryptographic systems, with a focus on quantum-resistant algorithms, AI-enhanced encryption protocols, and machine learning-based threat detection. We examine how quantum computing can enhance the complexity of cryptographic keys and decryption methods, while AI can optimize encryption techniques and predict vulnerabilities in real-time. Furthermore, we discuss the challenges and opportunities arising from this integration, including scalability, implementation complexities, and the need for new cryptographic standards. As quantum computers continue to advance, the fusion of AI and quantum computing will play a pivotal role in safeguarding sensitive data, ensuring the integrity of digital infrastructures, and shaping the future of cryptographic security in the post-quantum era.

Item Type:	Article
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:	Postgraduate > Master's of Islamic Education
Depositing User:	Journal Editor
Date Deposited:	19 Mar 2025 09:30
Last Modified:	19 Mar 2025 09:30
URI:	http://eprints.umsida.ac.id/id/eprint/15853

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