Juan Cruz-Benito
@_juancb
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I do things with data. AI for Quantum Product Owner at #IBMQuantum. My views are my own.
Joined March 2011
With our scripts, you can: ✅ Download the LLM optimized for local enviroments (GGUF) ✅ Enable inference on your machine (via Ollama) ✅ Automatically configure the Qiskit Code Assistant VSCode or JupyterLab extension Give it a try and share your feedback—we’d love to hear you!
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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.
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✅ Open access: Available on Hugging Face → https://t.co/w0z5dKtcqO. This update is part of our mission to make quantum development more intuitive and efficient. Explore it, test it, and share your feedback! #Qiskit #QuantumComputing #AI #OpenSource #HuggingFace
huggingface.co
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✅ Better accuracy: The new model ranks higher across key benchmarks, including QiskitHumanEval, QiskitHumanEval Hard, HumanEval, MathQA, ASDiv, SciQ and others (see the model card for more info). ✅ Improved UX: More precise responses for quantum programming tasks.
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We’ve upgraded the Qiskit Code Assistant! Last month, we introduced mistral-small-3.2-24b-qiskit, replacing granite-3.3-8b-qiskit. 🧵👇
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🔗 Check out the full survey results: Unitary Fund Survey 2025
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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
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Huge kudos to the amazing team behind this David Kremer, Víctor Villar Pascual, Jesús Talavera Gómez, Yaiza García Martín-Mantero, @ismaelfaro — your dedication, creativity, and deep technical insight are what make this possible.
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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.
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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.
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In less than two years, the package has surpassed 929K downloads, becoming a relevant tool for quantum circuit optimization/transpilation across the community.
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🚀 I'm thrilled to share that the qiskit-ibm-transpiler library has moved up to #3 in the @unitaryfdn 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.
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BREAKING NEWS The Royal Swedish Academy of Sciences has decided to award the 2025 #NobelPrize in Physics to John Clarke, Michel H. Devoret and John M. Martinis “for the discovery of macroscopic quantum mechanical tunnelling and energy quantisation in an electric circuit.”
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🚀 The 𝗤𝘂𝗮𝗻𝘁𝘂𝗺 𝗢𝗽𝗲𝗻 𝗦𝗼𝘂𝗿𝗰𝗲 𝗦𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗦𝘂𝗿𝘃𝗲𝘆 𝟮𝟬𝟮𝟱 is live! Share your voice on tools, research & the future of quantum tech. Takes ~10 min, open 𝘂𝗻𝘁𝗶𝗹 𝗢𝗰𝘁 𝟯. Results will be shared with the community. 👉 https://t.co/3Egl8DZXzb
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Let me share here one of our last work "Quantum Verifiable Rewards for Post-Training Qiskit Code Assistant" We built an AI that writes quantum code, verified on real quantum hardware 🔥 Paper: https://t.co/VRSUPV144y
#QuantumComputing #AI #MachineLearning #Qiskit #Research
arxiv.org
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...
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Join us Nov 12–14 in Atlanta for IBM Quantum Developer Conference 2025! Get hands-on with our latest tools, hardware (Nighthawk), and near-term quantum advantage. Apply by Sept 19:
ibm.com
Preview the hardware and software that will power the first demonstrations of quantum advantage at the second-annual IBM Quantum® Developer Conference.
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Excited to share A Framework for Quantum Advantage—a new white paper from IBM + @pasqal_quantum : https://t.co/Q12owIoDyP Blog: https://t.co/YRTNelpFkM We define quantum advantage as a task where results are verifiable and quantum outperforms classical in cost, efficiency, or
ibm.com
We predict the quantum community will uncover quantum advantage by the end of 2026, but how will we know when it's arrived?
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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
#QuantumComputing #OpenSource #AI #LLMs #Qiskit #IBM
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