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IonQ speeds quantum circuit design using generative AI
The project with Oak Ridge National Laboratory and NVIDIA cut compilation runtime from about 11 minutes to roughly 28 seconds for 12 qubits, potentially lowering costs for customers.
IonQ is highlighting a September 2026 engineering collaboration that used generative AI to accelerate the design of quantum circuits, with work involving Oak Ridge National Laboratory and NVIDIA, according to MarketBeat Ratings.
The outlet says the generative AI approach improved compilation runtime by reducing circuit-finding time from about 11 minutes to about 28 seconds for 12 qubits, alongside an improvement in the quality of generated answers.
MarketBeat Ratings notes the company frames the result as support for a hybrid model that combines classical AI with quantum computing, aiming to bypass the lengthy trial-and-error process that has historically slowed circuit optimization.
While the report emphasizes the potential commercial upside through faster computation and lower costs, it also cautions that the timeline and direct impact on customer revenue are not yet clear, even as IonQ reported a 287.0% year over year revenue improvement last quarter.