Nvidia is treating quantum computing as the next stage of accelerated computing, not as a separate machine sitting apart from AI supercomputers.

Sam Stanwyck from Nvidia and Pranav Gokhale from Infleqtion explain how NVQLink connects QPUs and GPUs with low-latency, high-bandwidth communication, allowing quantum computers, GPU supercomputers, CPUs, CUDA-Q, and AI software to work inside the same computational workflow.

The conversation moves from logical qubits, quantum error correction, material science, battery design, and Hamiltonian simulation to quantum sensors in space, NASA, gravity mapping, edge GPUs, and why the first useful quantum systems may arrive as hybrid quantum-classical supercomputers.

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Chapters

(00:00) Trailer

(01:20) Why Nvidia

(02:52) NVQ-Link

(09:29) Quantum computer vs the GPU

(12:33) AI helping quantum

(16:56) Building a space elevator

(20:09) The quantum algorithm zoo 

(22:04) From noisy qubits to logical qubits 

(24:00) How much energy does a quantum computer use? 

(27:05) The no-cloning theorem

(27:20) The biggest unanswered question in quantum computing

(30:47) A $20M NASA program

(33:32) What do we want humans to be?