NVIDIA announced the launch of NVIDIA Ising, the world’s first family of open-source quantum AI models designed to accelerate useful quantum computing applications (14/04).

The models are built to help researchers and enterprises develop quantum processors capable of running practical applications at scale.

Breakthrough Performance in Calibration and Error Correction

NVIDIA Ising delivers AI-based quantum processor calibration and quantum error correction decoding with up to 2.5 times faster performance and three times higher accuracy than traditional methods.

The Ising family focuses on two critical challenges in quantum computing: calibration and error correction, which are essential for building scalable hybrid quantum-classical systems.

“AI is essential to making quantum computing practical,” said Jensen Huang. “With Ising, AI becomes the control plane — the operating system of quantum machines — transforming fragile qubits to scalable and reliable quantum-GPU systems.”

AI Models Designed for Scalable Quantum Systems

Ising Calibration uses a vision-language model to interpret quantum processor measurements and automate continuous calibration, reducing processing time from days to hours.

Ising Decoding includes two variants of a 3D convolutional neural network designed for speed or accuracy, enabling real-time decoding for quantum error correction.

These decoding models are up to 2.5 times faster and three times more accurate than pyMatching, the current open-source industry standard.

Adoption Across Research and Industry

Organizations adopting Ising Calibration include Fermi National Accelerator Laboratory, Harvard John A. Paulson School of Engineering and Applied Sciences, and Lawrence Berkeley National Laboratory Advanced Quantum Testbed.

Ising Decoding is being used by institutions such as Cornell University, University of California, San Diego, and University of Chicago.

The quantum computing market is expected to surpass $11 billion by 2030, with growth depending on progress in solving engineering challenges like scalability and error correction.

Integration With NVIDIA Quantum Ecosystem

NVIDIA Ising includes customizable models, tools, training data, and workflow guides to support quantum computing development.

The models integrate with NVIDIA CUDA-Q and connect through NVIDIA NVQLink for real-time control and error correction.

They can also run locally on researchers’ systems, helping protect proprietary data.

NVIDIA Ising is part of NVIDIA’s broader open model portfolio, which includes NVIDIA Nemotron, NVIDIA Cosmos, and NVIDIA BioNeMo, and is available on GitHub, Hugging Face, and build.nvidia.com.

PHOTO: NVIDIA

This article was created with AI assistance.

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