Topics: AI | Hardware | Science & Research | Technology
NVIDIA product marketing manager Nick Harrigan explains how AI is accelerating quantum computing, from error correction to new applications in drug discovery and materials science.
●
AI can dramatically speed up quantum error correction by running high‑throughput decoders that process terabytes of data thousands of times per second.
●
Open AI models like NVIDIA Ising help quantum hardware builders calibrate devices and decode errors, lowering the barrier to practical quantum systems.
●
Generative models and agentic workflows may soon design and compile quantum algorithms, helping researchers discover new quantum applications humans struggle to conceive.
"In some cases quantum computing can give us a kind of exponential or even like a very strong polynomial advantage over a normal computer."