mlsanityData to 14 Oct 2026

C4Q: A Chatbot for Quantum

arXiv 2402.01738 ↗First posted 29 Jan 2024cs.CL quant-phcited by 3

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Abstract (arXiv)

Quantum computing is a growing field that promises many real-world applications such as quantum cryptography or quantum finance. The number of people able to use quantum computing is however still very small. This limitation comes 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 possibility would be to use existing conversational agents. Unfortunately ChatGPT and other Large-Language Models produce 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 user requests. It then generates an accurate answer using an own engine. Thanks to this architectural design, C4Q's answers are always correct, and thus C4Q can become a support tool that makes quantum computing more available to non-experts.

Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 4 of its 42 references that are in the map. First posted on arXiv 29 Jan 2024.

Builds on

4 of 42 references.

References · 4

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
  2. 2018How to Design a Program Repair Bot? Insights from the Repairnator Projectcited by 11
  3. 2019Explainable Software Bot Contributions: Case Study of Automated Bug Fixescited by 4
  4. 2016Control-Flow Integrity: Precision, Security, and Performancecited by 3

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Citing papers per year: 2025: 3.

3 papers.