Technology giant Nvidia has released Ising, the world's first open artificial intelligence model family designed for quantum computing calibration and error correction. These AI models are intended to help researchers and enterprises develop more advanced quantum computers capable of running complex applications at scale.
Quantum computers rely on qubits, which are inherently fragile and prone to errors. To function effectively, these systems require real-time error correction and calibration to counteract environmental interference.
Nvidia CEO Jensen Huang stated, "AI is essential to making quantum computing practical. With Ising, AI becomes the control plane-the operating system of quantum machines-transforming fragile qubits into scalable and reliable quantum-GPU systems."
Ising is named after a mathematical model simplifying complex physical systems. Nvidia offers two key models: Ising Decoding for real-time error correction and Ising Calibration for preparing quantum systems by tuning control signals.
Ising Decoding, available in speed- and accuracy-optimized variants, aims to improve upon current industry standards like pyMatching. Ising Calibration uses a vision-language model to automate continuous calibration by interpreting measurements from quantum processors.
Nvidia's director of quantum product, Sam Stanwyck, noted that decoding and calibration address immediate scaling obstacles. The company envisions AI playing a broader role in optimizing quantum circuits and building quantum-GPU-based supercomputers.
Ising Decoding and Calibration are already being adopted by leading research institutions and companies, including Cornell University, Sandia National Laboratories, Atom Computing, and IonQ. Nvidia also released a comprehensive cookbook and a NIM microservice to aid developers in customizing and deploying these AI models for various hardware setups.