Juan Cruz-Benito

We Got AI Agents to Train RL Models for Quantum Transpilation | Juan Cruz-Benito A new MCP server that enables AI agents to autonomously train reinforcement learning models for quantum circuit synthesis - including permutation, linear function, and Clifford circuits.

More info juancb.es/post/2026-qi...

Qiskit MCP servers: github.com/Qiskit/mcp-s...

The example agent: github.com/Qiskit/mcp-s...

The MCP server supports:
- Permutation synthesis (SWAP routing)
- Linear function synthesis (CNOT circuits)
- Clifford synthesis (H, S, CNOT gates)

This is how we envision training AI-powered transpilation models starting now.

#QuantumComputing #AI #RL #Qiskit #MCP

The key difference: instead of fine-tuning LLMs, we're training RL agents that learn to synthesize quantum circuits optimized for real hardware.

Inspired by @hf.co's HF Skills Training (where Claude can submit fine-tuning jobs via natural language), we built something similar for quantum circuit synthesis with the new qiskit-gym-mcp-server proof of concept.

✨We got AI agents to train RL models for quantum transpilation!

What if you could tell an AI assistant: "train a model to synthesize linear function circuits for X qubits on a ibm_nighthawk" - and it just does it?

Use Qiskit Code Assistant in local mode | IBM Quantum Documentation Learn how to deploy and use the Qiskit Code Assistant model locally.

More info: quantum.cloud.ibm.com/docs/en/guid...

#Qiskit #QuantumComputing #AI #Ollama #OpenSource #AIforQuantum

With our scripts, you can:
✅ Download the LLM optimized for local enviroments (GGUF)
✅ Enable inference on your machine (through Ollama)
✅ Automatically configure the Qiskit Code Assistant VSCode or JupyterLab extension

Give it a try and share your feedback—we’d love to hear how you use it!

Instructions on how to setup the Qiskit Code Assistant in local environments easily

Don’t have access to the Qiskit Code Assistant because you’re not on an IBM Quantum Premium plan?

No worries—you can run it directly on your computer! We’ve recently improved the local setup experience.

#Qiskit #QuantumComputing #AI #OpenSource #HuggingFace

Qiskit/mistral-small-3.2-24b-qiskit · Hugging Face We’re on a journey to advance and democratize artificial intelligence through open source and open science.

✅ Improved UX: More precise responses for quantum programming tasks.
✅ Open access: Available on Hugging Face → huggingface.co/Qiskit/mistr...

This update is part of our mission to make quantum development more intuitive and efficient.

Explore it, test it, and share your feedback!

Qiskit/mistral-small-3.2-24b-qiskit · Hugging Face We’re on a journey to advance and democratize artificial intelligence through open source and open science.

We’ve upgraded the Qiskit Code Assistant!

Last month, we introduced mistral-small-3.2-24b-qiskit, replacing granite-3.3-8b-qiskit.

✅ Better accuracy: The new model ranks higher across key benchmarks, including QiskitHumanEval, QiskitHumanEval Hard, HumanEval, MathQA, ASDiv, SciQ and others.

🔗 Check out the full survey results: Unitary Fund Survey 2025 unitaryfoundation.github.io/survey-2025

And thank you to the community for your continued trust and feedback.

Let’s keep pushing the boundaries of quantum + AI software together.

#QuantumComputing #Qiskit #IBMQuantum #AITranspiler #UnitaryFund #QuantumSoftware #OpenSource #AIforQuantum

Huge kudos to the amazing team behind this David Kremer, Víctor Villar Pascual, Jesús Talavera Gómez, Yaiza García Martín-Mantero, @ismaelfaro.bsky.social — your dedication, creativity, and deep technical insight are what make this possible.

This makes advanced AI-powered transpilation more accessible than ever. The Unitary Fund survey is widely recognized as the primary pulse check for quantum software adoption and developer preferences. Seeing our work reflected there is both humbling and energizing.

One of the most exciting updates this year: our AI transpiler passes — including the latest Pauli Networks pass (arXiv:2503.14448) — can now run in local mode, removing the need for an IBM Quantum premium plan.

In less than two years, the package has surpassed 929K downloads, becoming a relevant tool for quantum circuit optimization/transpilation across the community.

🚀 I'm thrilled to share that the qiskit-ibm-transpiler library has moved up to #3 in the @unitary.foundation 2025 Survey under Full-stack development platforms, compilers, and simulators. Last year, we were #4 — and this year’s leap is a testament to the incredible work of the team behind it.

We'd love to hear how you're making the most of these models! Share your experiences and quantum development journey with us. 🌟

Big thanks to the team involved in this release! cc/ Nicolas Dupuis, Adarsh Tiwari, @ismaelfaro.bsky.social

#QuantumComputing #OpenSource #AI #LLMs #Qiskit #IBM

Qiskit (Qiskit) Creating a link between Quantum Computing and AI

🔗 Browse All Models: huggingface.co/Qiskit

🔗 Get Started: Learn how to use these models locally in our comprehensive documentation: quantum.cloud.ibm.com/docs/en/guid...

Available Models:
• Granite 3.3 8B Qiskit (+ GGUF)
• Granite 3.2 8B Qiskit (+ GGUF)
• Qwen2.5-Coder 14B Qiskit (+ GGUF)

All models are available on Hugging Face and ready for local deployment!

🔬 Expanding Our Horizons - We continue to leverage the newest stable versions of IBM Granite 3.2 and 3.3 models, while for the first time exploring beyond IBM Granite with the powerful Qwen2.5-Coder series

✨ Qiskit 2.0 Compatibility - Our newer models are fully compatible with Qiskit 2.0, ensuring seamless development with the latest version

🧠 Enhanced Text Understanding - Significant improvements in general text comprehension and code generation capabilities

🚀 We're thrilled to announce the latest open-source LLM releases from the Qiskit Code Assistant team! 🚀

These new models bring enhanced capabilities and broader compatibility to quantum computing development.

What's New: 🧵👇

Yesterday I returned to my alma mater, @usaloficial.bsky.social, to share my PhD journey with current doctoral students. Encouraged them to make the most of this adventure in preparation for what’s next!

Thanks for the invitation, it’s always a pleasure 🎓

#PhD #mentorship #research

#ibmtech2025 #innovation #technicalexcellence #quantumcomputing #ai… | Juan Cruz-Benito Among 👁️🐝Ⓜ️ Giants and Pioneers: Reflections from IBM Tech 2025 in Singapore 🇸🇬 I had the privilege of attending IBM Tech 2025 in Singapore this week -…

Find out my expanded post with reflections in www.linkedin.com/posts/juancb...

#QuantumComputing #AIforQuantum #technology #IBM #AI

Just returned from the exclusive IBM Tech 2025 in Singapore! 🇸🇬

It's been incredible to connect with IBM's brightest technical minds exploring the future of technology. The most powerful innovations happen when diverse expertise collides! Grateful and inspired.

#IBMTech2025

AI-powered transpiler passes | IBM Quantum Documentation What are the AI transpiler passes and how to use them

Check out the documentation on how to use it in docs.quantum.ibm.com/guides/ai-tr...

#QiskitTranspilerService #AI #AIforQuantum

In case you want to play with this new AI transpiler pass, you don't need to wait for a release.

This AI pass has been available in the Qiskit Transpiler Service since last November 2024, as presented in the Quantum Developer Conference 2024.

Quantum Circuits and Complexity 8:00 am – 11:00 am, Wednesday March 19, Session MAR-L35, Anaheim Convention Center, 256B (Level 2)

David Kremer will be presenting this work at the APS March Meeting in Anaheim on Wednesday (March 19) morning - do check it out if you are at the conference! summit.aps.org/events/MAR-L...

If you're around, check it out