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In the contemporary digital age, Quantum Computing and ArtificialIntelligence (AI) convergence is reshaping the cyber landscape, introducingunprecedented opportunities and potential vulnerabilities.This research,conducted over five years, delves into the cybersecurity implications of thisconvergence, with a particular focus on AI/Natural Language Processing (NLP)models and quantum cryptographic protocols, notably the BB84 method andspecific NIST-approved algorithms. Utilising Python and C++ as primarycomputational tools, the study employs a "red teaming" approach, simulatingpotential cyber-attacks to assess the robustness of quantum security measures.Preliminary research over 12 months laid the groundwork, which this study seeksto expand upon, aiming to translate theoretical insights into actionable,real-world cybersecurity solutions. Located at the University of Oxford'stechnology precinct, the research benefits from state-of-the-art infrastructureand a rich collaborative environment. The study's overarching goal is to ensurethat as the digital world transitions to quantum-enhanced operations, itremains resilient against AI-driven cyber threats. The research aims to fostera safer, quantum-ready digital future through iterative testing, feedbackintegration, and continuous improvement. The findings are intended for broaddissemination, ensuring that the knowledge benefits academia and the globalcommunity, emphasising the responsible and secure harnessing of quantumtechnology.

Red Teaming Generative AI/NLP, the BB84 quantum cryptography protocol and the NIST-approved Quantum-Resistant Cryptographic Algorithms