Launching Ising, open models to accelerate the path to useful quantum computers
7 hours ago
- #NVIDIA Innovation
- #Quantum Computing
- #AI Models
- NVIDIA introduced Ising, the world's first family of open-source quantum AI models for quantum processor calibration and error correction.
- Ising models enable up to 2.5x faster and 3x more accurate quantum error correction decoding compared to traditional methods.
- The Ising family includes Ising Calibration (a vision language model for rapid calibration) and Ising Decoding (CNN variants for real-time error correction).
- Adoption by leading institutions includes Academia Sinica, Fermi National Accelerator Laboratory, Harvard, and IQM Quantum Computers.
- Ising integrates with NVIDIA CUDA-Q and NVQLink for hybrid quantum-classical computing and real-time control.
- NVIDIA provides tools, data, and workflows via NIM microservices to fine-tune models locally for specific hardware and use cases.
- Ising joins NVIDIA's open model portfolio, available on GitHub, Hugging Face, and build.nvidia.com.