Artificial intelligence and quantum cryptography

Journal article

The technological advancements made in recent times, particularly in artificial intelligence (AI) and quantum computing, have brought about significant changes in technology. These advancements have profoundly impacted quantum cryptography, a field where AI methodologies hold tremendous potential to enhance the efficiency and robustness of cryptographic systems. However, the emergence of quantum computers has created a new challenge for existing security algorithms, commonly called the ‘quantum threat’. Despite these challenges, there are promising avenues for integrating neural network-based AI in cryptography, which has significant implications for future digital security paradigms. This summary highlights the key themes in the intersection of AI and quantum cryptography, including the potential benefits of AI-driven cryptography, the challenges that need to be addressed, and the prospects of this interdisciplinary research area.

Authors: Radanliev, P

• Publication status: Published
• Peer review status: Peer reviewed
• Publisher: Springer Nature
• Journal: Journal of Analytical Science and Technology
• Volume: 15
• Issue: 1
• Article number: 4
• Publication date: 2024-02-09
• Acceptance date: 2024-01-28
• DOI: 10.1186/s40543-024-00416-6
• EISSN: 2093-3371
• Language: English
• Keywords: neural networks; quantum algorithms; AI-enhanced security; quantum information processing; quantumai integration; artificial intelligence; quantum threats