Brookhaven AIMS Series: When reinforcement learning meets quantum computing

Tuesday 1 Mar 2022, 12:00 → 13:00 US/Eastern

The Brookhaven AI/ML  Seminar (AIMS) series is about showcasing research at Brookhaven National Laboratory (BNL) and elsewhere that uses AI and Machine Learning to enhance scientific discovery and that uses domain science questions to motivate new AI developments. 

 

12:00 → 13:00 When reinforcement learning meets quantum computing

Abstract: Recently, reinforcement learning (RL) has demonstrated various applications with superhuman performance such as mastering the game of Go. Meanwhile, the development of quantum computing hardware shed light on building practical quantum applications to tackle previously unsolved problems. What will happen if we combine these two fascinating techniques? In this talk, I will present the recent progress in quantum RL as well as using classical RL to help certain tasks in quantum computing.

Speaker: Yen-Chi Chen (Brookhaven National Laboratory)

2022_03_01_When_Reinforcement_Learning_meets_Quantum (1).pdf

Recording_03012022.mp4