Uploaded May 2026 | Updated September 2026, 2 weeks ago
Join us for a live, interactive session showcasing NVIDIA's free, open-source educational resources for teaching quantum computing with CUDA-Q. Whether you run a dedicated quantum computing class; incorporate quantum concepts into optimization, chemistry, linear algebra, scientific computing, or accelerated computing courses; or are exploring how to add quantum computing into your school’s curriculum, this session will show you what's available and where things are headed.
We'll tour CUDA-Q Academic: modular, classroom-tested notebooks and interactive visualization tools designed for undergraduate and graduate student audiences. Each module builds toward industry-relevant skills needed to tackle quantum computing's biggest challenges that sit at the intersection of quantum computing, AI, and high-performance computing. We'll also demo the available platforms for running the materials, including NVIDIA Brev, Google Colab, qBraid, and Amazon BraKet.
The second half turns to AI strategy for quantum education: as AI reshapes how quantum computing research and development is done, the skills students need are evolving too, along with how they learn them. We'll look at what this means in practice and preview the agentic-first, quantum educational resources currently in development.
Join us for a live, interactive session showcasing NVIDIA's free, open-source educational resources for teaching quantum computing with CUDA-Q. Whether you run a dedicated quantum computing class; incorporate quantum concepts into optimization, chemistry, linear algebra, scientific computing, or accelerated computing courses; or are exploring how to add quantum computing into your school’s curriculum, this session will show you what's available and where things are headed.
We'll tour CUDA-Q Academic: modular, classroom-tested notebooks and interactive visualization tools designed for undergraduate and graduate student audiences. Each module builds toward industry-relevant skills needed to tackle quantum computing's biggest challenges that sit at the intersection of quantum computing, AI, and high-performance computing. We'll also demo the available platforms for running the materials, including NVIDIA Brev, Google Colab, qBraid, and Amazon BraKet.
The second half turns to AI strategy for quantum education: as AI reshapes how quantum computing research and development is done, the skills students need are evolving too, along with how they learn them. We'll look at what this means in practice and preview the agentic-first, quantum educational resources currently in development.
