NLP, the BB84 quantum cryptography protocol and the NIST-approved
Quantum-Resistant Cryptographic Algorithms
Abstract
In the contemporary digital age, Quantum Computing and Artificial
Intelligence (AI) convergence is reshaping the cyber landscape,
introducing both 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.