  Large Language Models (LLMs) such as ChatGPT have transformed how we interact
with and understand the capabilities of Artificial Intelligence (AI). However,
the intersection of LLMs with the burgeoning field of Quantum Machine Learning
(QML) is only in its nascent stages. This paper presents an exploration of this
niche by detailing a comprehensive framework for implementing the foundational
Transformer architecture -- integral to ChatGPT -- within a quantum computing
paradigm. We meticulously design quantum circuits that implement adapted
versions of the transformer's core components and the generative pre-training
phase. By integrating quantum computing with LLMs, we aspire to open new
avenues for research in QML and contribute to the ongoing evolution of AI
technologies.
