(1) Introduction to Hon Hai Research Institute and
(2) Introduction to Quantum Machine Learning
Abstract: The talk will be splitted into two parts. In the first part, I will briefly introduce the newly established Hon Hai Research Institute with a special focus on the current research directions in the quantum computing research center. In the second part, I will first give an overview of quantum computing research. Then I will move on to the chance and challenge in the research of quantum machine learning.
Short Bio: Min-Hsiu Hsieh received his BS and MS in electrical engineering from National Taiwan University in 1999 and 2001, and PhD degree in electrical engineering from the University of Southern California, Los Angeles, in 2008. From 2008-2010, he was a Researcher at the ERATO-SORST Quantum Computation and Information Project, Japan Science and Technology Agency, Tokyo, Japan. From 2010-2012, he was a Postdoctoral Researcher at the Statistical Laboratory, the Centre for Mathematical Sciences, the University of Cambridge, UK. From 2012-2020, he joined Faculty of Engineering and Information Technology, University of Technology Sydney, Australia. He received Australian Research Council (ARC) Future Fellowship and became Associate Professor at the Centre for Quantum Software and Information, University of Technology Sydney, Australia in 2014. He is now the director of Hon Hai (Foxconn) quantum computing center. His scientific interests include quantum information, quantum learning, and quantum computation.
修習"專題演講"課程同學須出席。
Students who take the "Colloquium" course must attend.
