Artificial Intelligence and Quantum Cryptography

Baonan Wang, Feng Hu, Huanguo Zhang +1 more

Aleksey Minbaleev, Kseniia Yu. Nikolskaia, O. V. Petrovskaya

This article discusses the relationship between artificial intelligence and quantum cryptography. Key areas where the two technologies can positively impact each other are highlighted. Such areas include optimization of quantum key distribution using artificial intelligence, quantum cryptography as a method for ensuring cybersecurity of systems with artificial intelligence, quantum intelligence in cryptanalysis, and hybrid classical-quantum systems. The regulatory framework for artificial intelligence and quantum cryptography technologies is considered using the example of a number of countries: Russia, India, China, Europe. Based on the analysis, the main problems of introducing artificial intelligence into quantum cryptography were identified.

Ankit Gupta, Shilpi Mittal

Anais Jaikissoon

The Age of Artificial Intelligence is here. In 2025, there are few regulations governing artificial intelligence. While the expansion of artificial intelligence is going in a relatively good direction, there is a risk that it can be misused. Misuse of technology is nothing new and will continue to happen. The lack of regulation in artificial intelligence is necessary because it raises the question of how we can move forward without knowing what the limits are. While artificial intelligence dominates the technology industry, new technology is starting to emerge. Quantum cryptography is expected to replace classical cryptography; however, the transition from classical to quantum cryptography is expected to occur within the next 10 years. The ability to transition from classical to quantum cryptography requires hybrid cryptography. Hybrid cryptography can be used now; however, similar to artificial intelligence, there is no regulation or support for the regulatory infrastructure regarding hybrid machines. This paper will explore the regulatory gaps in hybrid cryptography. The paper will also offer solutions to fix the gaps and ensure the transition from classical to quantum cryptography is safely and effectively completed.

Utpal Chakraborty

Murali Krishna Pasupuleti

Abstract: This chapter explores the convergence of cutting-edge technologies—Quantum AI, Edge AI for IoT, Blockchain for Privacy-Preserving Analytics, Artificial General Intelligence (AGI), and Quantum Cryptography—and their transformative potential in finance and communications. Quantum AI accelerates machine learning and decision-making through quantum computing, while Edge AI enables real-time data processing at the network edge for IoT systems. Blockchain ensures secure and decentralized privacy-preserving analytics, and AGI aims to develop AI systems capable of human-like general intelligence, potentially revolutionizing industries. Quantum Cryptography offers ultra-secure communication channels, safeguarding financial transactions and sensitive data. The chapter discusses these technologies' impact, applications, challenges, and ethical considerations, emphasizing the need for responsible development and interdisciplinary collaboration to harness their full potential. Keywords: Quantum AI, Edge AI, IoT, Blockchain, Privacy-Preserving Analytics, AGI, Quantum Cryptography, Finance, Communications, Quantum Computing, Machine Learning, Secure Data, Cryptography, Artificial Intelligence, Real-Time Processing, Data Security.