How AI Will Change Quantum Computing | NVIDIA AI Podcast Ep. 294

What happens when you combine AI with quantum computing? NVIDIA's Nic Harrigan joins the AI Podcast to break down the state of quantum, explain why error correction is the pivotal challenge, and reveal how NVIDIA Ising—the world's first open AI model family for quantum—is changing the game. 🔬 Topics covered: What is quantum computing, and how do qubits work? The Sherlock Holmes decoder: how AI solves error correction NVIDIA Ising: open models for calibration and decoding NVIDIA CUDA-Q, NVQLink, and the hybrid quantum-classical stack Could quantum hardware generate training data for AI models? 🔗 Resources mentioned: Read our NVIDIA Ising announcement ► https://nvidianews.nvidia.com/news/nvidia-launches-ising-the-worlds-first-open-ai-models-to-accelerate-the-path-to-useful-quantum-computers Learn more about NVIDIA Ising ► https://www.nvidia.com/en-us/solutions/quantum-computing/ising/ Learn more about NVIDIA Quantum Computing ► https://www.nvidia.com/en-us/solutions/quantum-computing/ Chapters: 0:00 Intro 0:55 What is quantum computing? 4:00 Qubits, noise, and error correction 5:26 How AI helps quantum error correction 10:57 Applications: drug discovery and materials 15:33 NVIDIA Ising announcement 20:35 Scaling quantum hardware 27:31 Algorithm development with generative AI