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.
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.
Utilizing the ideas of quantum physics, quantum cryptography is quickly becoming a vital defense against the growing cybersecurity risks of the contemporary day, especially in light of developing quantum computing. This essay investigates the complex field of quantum cryptography and looks at how it can transform network security and protect private data. We examine the fundamental ideas of quantum cryptography, such as Quantum Key Distribution (QKD) protocols like BB84 and E91, which use quantum features like superposition and entanglement to provide potentially indestructible secure communication channels. We also discuss the urgent need for quantum-resistant solutions in view of the developing "quantum threat" to well-known cryptographic algorithms like RSA and AES. The potential benefits and difficulties of using artificial intelligence (AI) techniques to boost quantum cryptography systems' resilience and efficiency are also examined. The creation of effective quantum repeater networks and enhanced security proofs are among the outstanding research topics, future difficulties, and present implementations in quantum cryptography that are covered in this study. We stress how crucial quantum cryptography is to protecting sensitive communications in the quantum era for a variety of industries, including the military, government, financial industry, and healthcare. We come to the conclusion that quantum cryptography has enormous potential for protecting vital information systems from future cyberattacks that are becoming more complex, even if we acknowledge the technology's early stages of development.
The convergence of quantum computing and artificial intelligence (AI) introduces both opportunities and risks for modern cryptographic systems. This review synthesizes peer-reviewed work from 2010 to 2025 using a PRISMA-inspired methodology to examine Quantum Artificial Intelligence (QAI) as a dual-use paradigm in cryptographic security. Conceptually, the study proposes a framework that characterizes QAI both as a defensive enabler and a potential attack amplifier across key distribution, randomness generation, and intrusion detection, and it analyzes how QAI reshapes the traditional separation between post-quantum cryptography (PQC) and quantum key distribution (QKD) by adding an adaptive “learning layer” on top of classical and quantum protocols. Analytically, the review shows that QAI-enhanced schemes can improve key rates, entropy verification, and detection accuracy in realistic settings, while also enabling quantum-accelerated cryptanalysis and AI-optimized side-channel attacks. Representative case studies, including satellite-based QKD demonstrations, NIST PQC standardization efforts, QAI-based intrusion detection in 5G/6G networks, and blockchain-supported fraud detection, are used to ground these insights. The paper argues that QAI is expected to play an increasingly important role in shaping the future foundations of cryptographic trust in the quantum era. This paper does not report new experimental or deployment results; instead, it provides a PRISMA-inspired systematic review and a conceptual multi-layered security framework, together with a research agenda for QAI-enhanced cryptographic security.
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.
Abstract 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.
The rapid convergence of quantum computing and artificial intelligence is reshaping computational paradigms across cryptography, optimization, sensing, and intelligent systems. This paper surveys and synthesizes recent developments at the intersection of quantum computing and AI, with particular attention to superconducting quantum hardware, quantum reinforcement learning, quantum key distribution optimization, and hybrid AI-driven post-quantum security frameworks. Drawing upon 2026 literature — including advances in high-speed predistortion architectures for flux-bias lines [1], enhanced quantum key distribution parameter optimization [2], quantum reinforcement learning for spectrum allocation in 6G networks [3], hybrid AI–post-quantum encryption for Internet of Medical Things (IoMT) systems [4], and measurement-consistent low-field MRI enhancement via k-space noise modeling [5] — we present a unified perspective on how quantum resources augment classical AI and how AI, in turn, accelerates the practical deployment of quantum technologies. We introduce a conceptual Quantum–AI Convergence Framework that maps hardware constraints, algorithmic opportunities, and security requirements. The analysis highlights persistent challenges in noise resilience, scalability, hybrid orchestration, and regulatory readiness, while outlining promising research directions for trustworthy quantum-enhanced intelligence.
Rapid advances in artificial intelligence (AI) and quantum computing can potentially transform cybersecurity. It explores the synergistic integration to improve cyber defenses. The ability of AI to analyze data, detect anomalies, and perform predictive analytics, combined with the potential of quantum computing to solve complex cryptographic problems, provides a strong framework for today's cybersecurity challenges. Using quantum algorithms and machine learning techniques, it aims to strengthen cryptographic methods, optimize threat detection systems, and develop flexible defense protocols against sophisticated cyber attacks. The study also examines the implications of quantum cryptography and the role of AI in managing quantum-generated data It discusses the challenges and ethical considerations associated with applying these advanced technologies in cybersecurity infrastructures. The findings suggest that the convergence of AI and quantum computing can significantly improve the effectiveness and adaptability of cybersecurity measures, paving the way for a secure digital future.