Sandia researchers improve quantum computing with complex models

This title was summarized by AI from the post below.

Closing the gap between quantum computing’s promise and reality, as explained with a musical relic ⚛️ Sandia researchers developed a method to make quantum computing more fruitful using complex models to predict physical errors and corrupt calculations, which they liken to improving a jukebox without having to open it. “We’re building models that allow scientists to really understand a quantum computer so they can either make it better or understand what problems it can solve,” Sandia computer scientist Daniel Hothem said. Learn more about the team’s quantum research: https://bit.ly/3WZeHX8

  • Daniel Hothem and Jeremiah Hauth, part of the team that developed a machine-learning method to make quantum computing more efficient, sit next to a jukebox.

To view or add a comment, sign in

Explore content categories