Quantum Computing Implications in Generative AI Cybersecurity
Salam Al-E’mari, Yousef K. Sanjalawe, Budoor Ahmad Allehyani · Advances in computational intelligence and robotics book series · 2025
This chapter explores how quantum computing and Generative Artificial Intelligence (AI) jointly reshape the cybersecurity landscape. It begins by examining the core principles of quantum computing—superposition, entanglement, and interference—and outlines their implications for cryptographic vulnerabilities. Generative AI's dual role is then presented, highlighting both the defensive advantages in threat detection and the offensive potential in crafting advanced cyberattacks. Next, the chapter delves into the disruptive power of adversarial AI when combined with quantum computation, underscoring the need for robust safeguards. Finally, quantum-enhanced security solutions—quantum-resistant cryptography, quantum key distribution, and quantum-supported AI defenses—are analyzed as viable strategies to future-proof digital infrastructures. Through these discussions, the chapter underscores the urgency of adapting security architectures to an evolving quantum-AI era.