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 error-correction decoding. Learn more: https://t.co/jWT7X73T89
NVIDIA Launches Ising Open AI Models to Automate Quantum Computing
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NVIDIA introduced Ising, a family of open-source AI models built to solve the engineering bottlenecks of quantum computing. The release includes
Ising Calibration, a vision language model for tuning processors, and Ising Decoding, a 3D convolutional neural network for quantum error correction (identifying and fixing errors in quantum bits).Quantum processors are currently limited by noise and fragility, requiring constant manual calibration. NVIDIA is positioning AI as the "control plane" for these machines to transform them into reliable systems. The Ising Decoding model is 2.5x faster and 3x more accurate than pyMatching, the current industry standard for error correction.
You can access the models, training data, and workflows via GitHub, Hugging Face, or NVIDIA NIM microservices. These tools integrate with NVIDIA CUDA-Q and NVIDIA NVQLink hardware, allowing researchers to fine-tune models for specific quantum architectures while keeping proprietary data local.
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