✨ How is AI reshaping the future of quantum computing? Don’t miss our Quantum Day, where top researchers, developers, and industry pioneers will share how they’re pushing the boundaries of quantum innovation across science and technology. We will also unveil new announcements

You won't want to miss any of the exciting Quantum Day announcements. Join us 📅 April 14, 8 AM - 1:30 PM Pacific. 🔗nvda.ws/3PTJVi6

NVIDIA LAUNCHES ISING, THE WORLD’S FIRST OPEN AI MODELS TO ACCELERATE THE PATH TO USEFUL QUANTUM COMPUTERS

Breaking 🚨: today is World Quantum Day! I got a sneak peek at some of the announcements coming from NVIDIA today… 🌍⚛️ Obviously, AI is coming for quantum. Not "AI will replace quantum” but “AI is now the control plane for quantum hardware”. NVIDIA just announced Ising — the

👀First set of open-sourced AI models to accelerate the path to useful quantum computers. 👇

EeroQ is proud to be among the first users of the NVIDIA Ising models working with Conductor Quantum to create a proof of concept of an autonomous QC lab! Read more from NVIDIA linked in the next tweet!

Our new open-source AI model family, NVIDIA Ising, will transform quantum computing by using agentic AI to solve it's most complex challenges, like real-time error correction. Nic Harrigan joins the NVIDIA AI Podcast to explain how this new open-source model family will help

We're proud to have collaborated with NVIDIA and EeroQ on the release of NVIDIA Ising Calibration, the first open Vision Language Model for quantum calibration. Together with EeroQ, we used it to build a working proof of concept for an autonomous quantum computing lab. 🧵

Our new open-source AI model family will transform quantum computing by using agentic AI to solve it's most complex challenges, like real-time error correction. Nic Harrigan joins the NVIDIA AI Podcast to explain how NVIDIA Ising will help turn today's quantum hardware into

Infleqtion is adopting NVIDIA's newly announced Ising Ising Calibration and Ising Decoding quantum AI models to optimize processor calibration and error correction. Learn how these tools will dramatically accelerate the path to scalable, reliable quantum systems 👇

✨ Just published: technical guide for NVIDIA Ising 🥇 World’s first family of open AI models for building quantum processors AI-powered calibration + error correction workflows Delivers up to 2.5x faster decoding and 3x higher accuracy⚡ Built for fault-tolerant, hybrid

It’s been a pleasure working with the team Q-CTRL. Really appreciate all the great feedback, and excited to see where you all take it from here Michael J. Biercuk!

Introducing NVIDIA Ising, the world’s first open AI models to accelerate the path to useful quantum computers. Researchers and enterprises can now use AI-powered workflows for scalable, high-performance quantum systems with quantum processor calibration capabilities and quantum

It’s been a pleasure working with Conductor Quantum and EeroQ! Great feedback and can’t wait to see where you all take it from here.

💡Cost per token is the metric that defines inference TCO, not compute cost or FLOPS per dollar. It’s what determines whether AI can scale efficiently and profitably in the real world 📈. NVIDIA Blackwell which delivers the lowest cost per token in the industry is available

How are accelerated computing and AI reshaping the future of quantum computing, and what breakthroughs are happening right now? Catch the NVIDIA Quantum Day webinar, where leading researchers, developers, and industry pioneers will share how they’re pushing the boundaries of

Scaling quantum computing requires solving the error correction bottleneck. @NVIDIA just unveiled a breakthrough in how we get there using AI. 🧵

Our new open-source AI model family, NVIDIA Ising, will transform quantum computing by using agentic AI to solve it's most complex challenges, like real-time error correction. Nic Harrigan joins the NVIDIA AI Podcast to explain how this new open-source model family will help

💡 CUDA-enabled Pytorch powers millions of developers each month to GPU accelerate their deep learning and simulation with the most industrial-grade solution available. NVIDIA CUDA-X brings cutting edge accelerated computing to your training, inference, and RL flows with

💡 Our researchers have built open models for AI powered decoding that could make quantum computers faster and more reliable. This open-source system uses machine learning to quickly clean up quantum noise — fixing most errors in microseconds and helping large quantum systems run