Machine Learning and Quantum Technology
Leong Chuan Kwek (Nanyang Technological University, Singapore)
Abstract: The rise of machine learning in recent times has remarkably transformed science and society. The goal of machine learning is to get computers to act without being explicitly programmed. Machine learning with deep reinforcement learning (RL) was recently recognized as a powerful tool to engineer dynamics in quantum system. Also, recently there has been some interest to exploit and leverage the limited available quantum resources for performing classically challenging tasks with noisy intermediate-scale quantum (NISQ) computers. Here, we discuss some of our recent work on the applications of machine learning to quantum systems.
data structures and algorithmsmachine learningmathematical physicsinformation theoryoptimization and controldata analysis, statistics and probability
Audience: researchers in the topic
( video )
Mathematics, Physics and Machine Learning (IST, Lisbon)
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Zoom link: videoconf-colibri.zoom.us/j/91599759679
Organizers: | Mário Figueiredo, Tiago Domingos, Francisco Melo, Jose Mourao*, Cláudia Nunes, Yasser Omar, Pedro Alexandre Santos, João Seixas, Cláudia Soares, João Xavier |
*contact for this listing |