NVIDIA Launches Open AI Model Ising to Accelerate Practical Quantum Computer Development

Taipei, April 14 (CNA) To commemorate World Quantum Day on April 14, artificial intelligence (AI) chip giant NVIDIA today announced the launch of Ising, the world's first open AI model designed to accelerate the development of practical quantum computers. It improves quantum error correction decoding speed by 2.5 times and accuracy by 3 times compared to traditional methods. Quantum computers are new computing machines that operate based on the principles of quantum mechanics. Their basic information unit is the qubit, which possesses "superposition" and "entanglement" characteristics, allowing them to quickly filter out correct answers from a vast number of possibilities. However, the fragility and high error rates of qubits have become a bottleneck in their development. NVIDIA founder and CEO Jensen Huang said in a press release that AI is the key to making quantum computing practical. Through Ising, AI becomes the control plane, the operating system for quantum machines, transforming fragile qubits into scalable and reliable quantum-graphics processing unit (GPU) systems. NVIDIA noted that the NVIDIA Ising series is named after a landmark mathematical model that significantly simplifies the understanding of complex physical systems, providing high-performance and scalable AI tools for quantum error correction and calibration. The NVIDIA Ising series includes a visual language model, Ising Calibration, which can quickly interpret and respond to quantum processor measurement results, enabling AI agents to automate continuous calibration, reducing the required time from days to hours. Many academic institutions and research laboratories, including Academia Sinica, have adopted Ising Calibration. Ising Decoding includes two versions of a 3D convolutional neural network model, optimized for either speed or accuracy in quantum error correction. Ising has been added to NVIDIA's open model portfolio, which includes NVIDIA Nemotron for agent-based systems, NVIDIA Cosmos for physical AI, NVIDIA Alpamayo for autonomous vehicles, NVIDIA Isaac GR00T for robotics, and NVIDIA BioNeMo for biomedical research. (Editor: Yang Kai-xiang) 1150414