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[理論室學術報告] Machine learning meets quantum physics
時間: 2019年06月05日 10:00
地點: M830
報告人: Dong-Ling Deng

Tsinghua IIIS

Brief Bio:

Dong-Ling Deng is an assistant professor at the Institute for Interdisciplinary Information Sciences, Tsinghua University. He graduated from Nankai University with two Bachelor degrees, one in physics and the other in mathematics. He then studied at the Chern Institute of Mathematics and got a master degree in theoretical physics. After that, he moved to the University of Michigan and obtained his Ph.D. in physics. He did his postdoctoral work as a JQI (Joint Quantum Institute) postdoctoral fellow at the University of Maryland. Prof. Deng’s current research interest mainly concerns quantum machine learning/artificial intelligence.

Abstract: Recently, machine learning has attracted tremendous interest across different communities. In this talk, I will briefly introduce some new progresses in the emergent field of quantum machine learning ---an interdisciplinary field that explores the interactions between quantum physics and machine learning. On the one hand, I will talk about several quantum algorithms that promise an exponential speed-up for machine learning tasks. On the other hand, I will show how ideas and techniques from machine learning can help solve challenging problems in the quantum domain. In particular, I will talk about how to use machine learning to identify nonergodic metals in a many-body localized system and 3D chiral topological insulators with experimental data observed from a solid-state quantum simulator.

Contact: Lei Wang, 9853


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