Red Teaming Generative AI/NLP, the BB84 quantum cryptography protocol
  and the NIST-approved Quantum-Resistant Cryptographic Algorithms
Petar Radanliev David De Roure Omar Santos
In the contemporary digital age, Quantum Computing and Artificial
Intelligence (AI) convergence is reshaping the cyber landscape, introducing
unprecedented opportunities and potential vulnerabilities.This research,
conducted over five years, delves into the cybersecurity implications of this
convergence, with a particular focus on AI/Natural Language Processing (NLP)
models and quantum cryptographic protocols, notably the BB84 method and
specific NIST-approved algorithms. Utilising Python and C++ as primary
computational tools, the study employs a "red teaming" approach, simulating
potential cyber-attacks to assess the robustness of quantum security measures.
Preliminary research over 12 months laid the groundwork, which this study seeks
to expand upon, aiming to translate theoretical insights into actionable,
real-world cybersecurity solutions. Located at the University of Oxford's
technology precinct, the research benefits from state-of-the-art infrastructure
and a rich collaborative environment. The study's overarching goal is to ensure
that as the digital world transitions to quantum-enhanced operations, it
remains resilient against AI-driven cyber threats. The research aims to foster
a safer, quantum-ready digital future through iterative testing, feedback
integration, and continuous improvement. The findings are intended for broad
dissemination, ensuring that the knowledge benefits academia and the global
community, emphasising the responsible and secure harnessing of quantum
technology.