Qiskit Code Assistant: Training LLMs for Quantum Code Generation Paper Published

Jun 17, 2024·
Juan Cruz-Benito
Juan Cruz-Benito
· 1 min read
Qiskit Code Assistant Training Research
blog Quantum Computing

Excited to share our research paper on training specialized LLMs for quantum computing code generation using Qiskit! 🚀

Code Large Language Models have emerged as powerful tools, revolutionizing the software development landscape by automating coding tasks. However, quantum programming presents unique challenges compared to classical coding.

Our work addresses:

  • The scarcity of quantum code examples
  • The rapidly evolving nature of the quantum computing field
  • Custom benchmarking similar to HumanEval for quantum-specific tasks

The results are promising: our model outperforms existing state-of-the-art quantum computing models!

This research represents an important step toward making quantum programming more accessible through AI assistance.

Read the paper: https://arxiv.org/abs/2405.19495v1

#qiskit #genAI #codegen #LLMs #IBMQuantum


Originally shared on LinkedIn on June 17, 2024 - 45 reactions, 3 comments as of 11/12/2025

Juan Cruz-Benito
Authors
Quantum+AI Manager

I research and develop AI-based systems to tackle complex problems in quantum computing and other relevant areas.

My work sits at the intersection of quantum computing, machine learning, and open source. I hold IBM Master Inventor status and have contributed to tools used by millions of developers worldwide.

I have a PhD in Computer Engineering from the University of Salamanca (2018), have authored 80+ publications, and received the 2019 SCIE-BBVA Award for best young researcher in Computer Science in Spain.