Interview
How NVIDIA is building quantum computing

Sam Stanwyck
Director of Quantum Product, NVIDIA
20 minHosted by Kim Isenberg
Watch on YouTubeAbout this conversation
Kim Isenberg talks with Sam Stanwyck, who leads NVIDIA’s quantum computing product team, about where quantum computing really stands today — beyond the hype. They cover NVIDIA’s role in the quantum ecosystem, why NVIDIA is not building its own quantum computer, and how GPUs, AI, accelerated computing and software like CUDA-Q could make quantum systems practically useful.
Sam previously worked on quantum hardware at Rigetti Computing and on quantum control systems at Keysight, giving him a full-stack perspective — from quantum devices and control systems to the infrastructure that connects quantum processors with classical supercomputers.
Topics
- What NVIDIA is building for the quantum computing industry
- Why quantum computing will likely be hybrid: CPUs, GPUs and QPUs together
- How AI helps with calibration, simulation, control and error correction
- What CUDA-Q is and why developer tools matter
- Where quantum computing is today — and when real value might arrive
- The most important long-term use cases
Kim Isenberg is co-founder and Editor-in-Chief of Superintelligence, an AI newsletter published every weekday.
Read the NewsletterMore interviews
- Robby SteinOn AI Mode and the future of links
- Omar Sanseviero & Paige BaileyOn Gemma, AI Studio and the future of AI
- Kari BriskiWhy NVIDIA gives away its best models