Quantum computing is a growing field that promises speedup for many real-world issues such as quantum cryptography or quantum finance. The number of people able to use quantum computing is however still very small. This limitation arises from the difficulty to understand the concepts and to know how to start coding. Therefore, there is a need for tools that can assist non-expert in overcoming this complexity. One possible tool for this would be to use conversational agents, but ChatGPT and other Large-Language Models produce completely inaccurate results.

This article presents C4Q, a chatbot that answers accurately basic questions and guides users when trying to code quantum programs. Contrary to other approaches C4Q uses a pre-trained large language model only to discover and classify the user requests. It then generates a response using an own engine with accurate answers.

C4Q stands out from other platforms due to its reliability, a distinctive trait attributed to its architecture and development. Thanks to this architectural design, C4Q’s answers are always correct, and thus C4Q becomes a support tool that makes quantum computing more available for non-experts.