Recent advances in deep reinforcement learning have made it possible for artificial intelligence (AI) systems to play games like chess or Go better than any human or computer ever could. This key technology is recently also used for learning control in industrial environments.
The current rapid increase in the capacity of quantum computers opens up the possibility of using quantum computers in AI systems, and offers the potential for breakthrough performance improvements that could trigger a technological revolution with implications for a wide range of applications.
In this project we are working with partners to develop novel algorithms that will allow methods used in reinforcement learning to be transferred to high-performance quantum computers.
For more information, please refer to the project's homepage.
This project is sponsored by the Federal Ministry of Education and Research.