Nvidia Launches Open-Source Quantum AI Models

Nvidia announced the world's first family of open-source quantum AI models, Nvidia Ising, on April 14, 2026 (World Quantum Day). These models, named after the Ising mathematical model, are designed to help researchers and enterprises build quantum processors capable of running useful applications by addressing critical challenges in quantum processor calibration and quantum error correction. The Ising family includes 'Ising Calibration,' a vision language model that automates continuous calibration, reducing time from days to hours, and 'Ising Decoding,' a 3D convolutional neural network model that performs real-time decoding for quantum error correction, offering up to 2.5x faster performance and 3x higher accuracy than current industry standards. Leading enterprises, academic institutions, and research labs, including Atom Computing, IonQ, IQM Quantum Computers, United States===Fermilab, and Cornell University, are already adopting these models. Nvidia CEO Jensen Huang emphasized that AI is essential for making quantum computing practical, transforming fragile qubits into scalable and reliable quantum-GPU systems. The quantum computing market is projected to exceed $11 billion by 2030, and Nvidia's strategic move aims to position itself as a key enabler in this growing market. The models are available on GitHub, Hugging Face, and build.nvidia.com, complementing Nvidia's existing CUDA-Q software platform and NVQLink hardware interconnect.