NVIDIA launches Ising open source quantum AI models

NVIDIA (NVDA) announced the launch of Ising, what the company describes as the world’s first family of open source quantum AI models designed to help researchers and enterprises build quantum processors for practical applications.

The Ising model family includes two main components: Ising Calibration, a vision language model for automating quantum processor calibration, and Ising Decoding, which uses 3D convolutional neural networks for quantum error correction. According to the company, Ising Decoding performs up to 2.5 times faster and 3 times more accurately than pyMatching, the current open source industry standard.

The models are being adopted by multiple organizations including Academia Sinica, Fermi National Accelerator Laboratory, Harvard John A. Paulson School of Engineering and Applied Sciences, Infleqtion, IQM Quantum Computers, Lawrence Berkeley National Laboratory’s Advanced Quantum Testbed, and the U.K. National Physical Laboratory.

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

The quantum computing market is projected to exceed $11 billion by 2030, according to analyst firm Resonance. NVIDIA stated that achieving useful quantum applications requires breakthroughs in quantum processor calibration and quantum error correction.

NVIDIA Ising complements the company’s CUDA-Q software platform for hybrid quantum-classical computing and integrates with the NVIDIA NVQLink QPU-GPU hardware interconnect. The models are available on GitHub, Hugging Face, and build.nvidia.com.

The announcement was made based on a company press release statement.