For years, quantum computing hit a stubborn software wall. While quantum hardware promised to resolve complex computational bottlenecks, the time and cost of calibrating quantum circuits created a commercial barrier. When setting up a calculation takes longer than the calculation itself, the technology becomes much less practical.
A joint milestone achieved by Oak Ridge National Laboratory, IonQ, Inc. (NYSE: IONQ), and NVIDIA Corporation (NASDAQ: NVDA) tackles this operational dilemma. By training generative artificial intelligence models to design quantum circuits directly, researchers showed compilation runtimes can drop from minutes to seconds.
