NVIDIA has launched “Ising,” the world’s first open-source AI models designed to enhance the performance of quantum computers. This initiative is supported by early adopters like IonQ and IQM, along with leading institutions such as Harvard and Fermilab, who are utilizing Ising models for processor tuning. The release features open-source models, tools, datasets, and workflows, enabling researchers to optimize their work with proprietary data while maintaining confidentiality. Additionally, Ising integrates with NVIDIA’s CUDA-Q platform and NIM microservices, facilitating hybrid quantum-AI computing on standard GPUs.
Ising: Ising is a family of open-source AI models developed by NVIDIA specifically for quantum computing workflows. It includes vision-language agents for automated processor calibration and 3D convolutional neural networks for real-time error correction. The launch accelerates the path to useful quantum computers by addressing noise and scalability challenges in current hardware.
NVIDIA: NVIDIA is a leading developer of accelerated computing platforms, including GPUs and software stacks like CUDA-Q, that power AI, high-performance computing, and hybrid quantum systems. The company integrates AI supercomputers with quantum processors through architectures like NVQLink to enable practical quantum applications. In this news, NVIDIA launched Ising as the first open-source AI models to serve as the control plane for quantum machines, improving calibration and error correction.
`json
{
“Early Adoption”: “Institutions are adopting Ising models for processor tuning.”,
“Open Ecosystem”: “The release includes open-source models, tools, datasets, and workflows, allowing researchers to fine-tune on proprietary data without sharing sensitive information.”,
“Hybrid Workflows”: “Ising integrates with NVIDIA’s CUDA-Q platform to enable seamless hybrid quantum-AI computing on standard GPUs.”
}
`