NVIDIA Releases World's First Open Source AI Models to Supercharge Quantum Computing Speed and Accuracy

NVIDIA launches Ising, the world's first open-source AI model family built to supercharge quantum computing, cutting processor calibration time from days to hours and delivering error correction that is 2.5x faster and 3x more accurate than current industry standards, with Harvard, Fermilab, and other major institutions already on board.

• NVIDIA launches Ising, the world's first open source family of AI models designed to accelerate quantum computing by tackling two critical challenges: quantum processor calibration and quantum error correction.
• The Ising model family includes Ising Calibration, a vision language model that reduces processor calibration time from days to hours, and Ising Decoding, a neural network model delivering up to 2.5x faster and 3x more accurate error correction than the current industry standard.
• Major institutions including Harvard, Fermi National Accelerator Laboratory, IQM Quantum Computers, and Lawrence Berkeley National Laboratory are already adopting Ising, with the models available on GitHub, Hugging Face, and build.nvidia.com.