Feb 12, 2021

Q-CTRL’s new AI toolset allows quantum computers to self-optimize

Posted by in categories: information science, quantum physics, robotics/AI

The toolset runs with Q-CTRL’s flagship BOULDER OPAL software for developers and R&D teams, automated closed-loop hardware optimization is also trained to obtain new experimental data/results from quantum computers while simultaneously running optimizations for algorithms. It can be used as a standalone tool or in tandem with a machine-learner online optimization package (M-LOOP) that manages quantum experiments autonomously.

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