The most accurate approach to training AI is too costly to run, due to trial-and-error parameter-tuning loops. Now, with partners @​ORNL, @​nvidia, and @​UTKn

The most accurate approach to training AI is too costly to run, due to trial-and-error parameter-tuning loops. Now, with partners @​ORNL, @​nvidia, and @​UTKnoxville, we show that a trained generative model can write quantum optimization circuits directly—eliminating those costly loops. Hybrid q…