You can now run the Qiskit Code Assistant locally easily. Download optimized models in GGUF format, install Ollama, and configure your VSCode or JupyterLab extension with a single command.
We've upgraded the Qiskit Code Assistant! Last month, we introduced mistral-small-3.2-24b-qiskit, replacing granite-3.3-8b-qiskit, delivering better accuracy across key benchmarks and more precise responses for quantum programming tasks.
The qiskit-ibm-transpiler library advanced to `#3` in the Unitary Foundation 2025 Survey for full-stack development platforms, surpassing 929K downloads in under two years. AI transpiler passes now run in local mode without requiring an IBM Quantum premium plan.
Technical presentation at the BasQ Qiskit Fall Fest 2025, a two-day quantum computing festival. This talk covers how AI can be applied to Qiskit development and quantum computing workflows, using the Qiskit Code Assistant and the AI-powered …
Released a new paper on a novel approach to train AI models that can write better quantum code using Qiskit. The approach uses quantum verification at the core, smart training pipeline with DPO and GRPO, and real quantum feedback to ensure generated code works in practice.
Qiskit is an open-source quantum computing framework that allows users to design, simulate, and run quantum circuits on real quantum hardware. We explore post-training techniques for LLMs to assist in writing Qiskit code. We introduce quantum …
Announcing the latest open-source LLM releases from the Qiskit Code Assistant team, featuring Qiskit 2.0 compatibility, enhanced text understanding, and new models including Granite 3.3, Granite 3.2, and Qwen2.5-Coder series.
Celebrating the arxiv publication of the Pauli Network Circuit Synthesis with Reinforcement Learning paper. The AI-powered transpiler pass has been available in the Qiskit Transpiler Service since November 2024, as presented at Quantum Developer Conference 2024.
Released a new version of Qiskit HumanEval compatible with Qiskit 1.4, featuring significant improvements to the benchmark including more robust and rigorous code execution tests for more accurate evaluations of LLM-generated quantum code.
Exciting update: Qiskit Code Assistant service now exposes compatible endpoints with OpenAI Completions API. This enables seamless usage via existing libraries like OpenAI and LiteLLM, making it easy to infuse Qiskit knowledge into your LLM pipelines.