Juan Cruz-Benito

🔗 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

Pauli Network Circuit Synthesis with Reinforcement Learning We introduce a Reinforcement Learning (RL)-based method for re-synthesis of quantum circuits containing arbitrary Pauli rotations alongside Clifford operations. By collapsing each sub-block to a compa...

⚠Paper alert!

In this new paper we introduce a RL-based synthesis pass for Pauli Networks (Clifford + arbitrary angle Pauli rotation circuits), and an optimization pass for general circuits that uses this Pauli Network synthesis pass.

arxiv.org/abs/2503.14448

Buenos días!!! 🙂

Comparing 0.1.0...0.1.1 · qiskit-community/qiskit-human-eval qiskit-humaneval is a dataset for evaluating LLM's at writing Qiskit code. - Comparing 0.1.0...0.1.1 · qiskit-community/qiskit-human-eval

View the full changelog: github.com/qiskit-commu...

Want to know more about Qiskit HumanEval? Check out our paper arxiv.org/abs/2406.14712

#qiskit #AIforQuantum #qiskit_humaneval

But that's not all - our update also includes significant improvements to the benchmark, making it more robust and rigorous in terms of code execution tests to provide even more accurate and comprehensive evaluations of your LLM-generated quantum code

New Qiskit HumanEval release! 🚀

We've just updated huggingface.co/datasets/Qis... to be compatible with the latest Qiskit 1.4 release!

Qiskit Code Assistant - OpenAI API compatibility | IBM Quantum Documentation Learn how to integrate Qiskit Code Assistant with other applications through the OpenAI completions API.

Learn more: docs.quantum.ibm.com/guides/qiski...

#qiskit #QiskitCodeAssistant #IBMQuantum #openai

The image depicts how to use the Qiskit Code Assistant through the OpenAI completions-compatible available endpoints using Python a and LiteLLM

Exciting update!

The Qiskit Code Assistant service now exposes compatible endpoints with OpenAI's Completions API. This integration enables seamless usage via existing libraries (OpenAI, LiteLLM, etc.), making it easy to infuse Qiskit knowledge into your LLM pipelines.

Qiskit Code Assistant | IBM Quantum Documentation Learn how to use Qiskit Code Assistant, a generative AI code assistant.

If you want to get started, I'd recommend checking the documentation docs.quantum.ibm.com/guides/qiski...

Oh! I was assuming you were getting outdated code from our model. Despite it may happen, we have measured that most of the times it should give you the right answer (even more when comparing it vs other AI models that are not specialized on Qiskit as you comment)

Thanks for the interest @quantumyakar.bsky.social. We thank the feedback from our users

We'd expect that, the new models are better in our internal benchmarks about outdated code. In any case, this model is a release candidate and needs more testing before promoting it to be a stable release.

🙌 Thanks to the feedback received, we've released a revised version of the granite-8b-qiskit-rc-0.10!

Check out the improved checkpoint at huggingface.co/Qiskit/grani...