报告时间：2018年1月3日10:00-11:00
报告地点：近代物理系210会议室
报告人：曹羽东博士后（美国哈佛大学）
报告题目：Recent developments in variational quantum algorithms
报告摘要：As quantum computers scale up, their potential applications has been of great interest in recent years. In particular, realization of quantum computers in near-term quantum devices have been a subject of intense interest. Variational quantum algorithms, which combines the advantage of both classical and quantum computers, have emerged as a new paradigm. In this talk I aim at introducing some of our recent results in variational algorithms, focusing on quantum chemistry, quantum error correction and quantum machine learning applications.
报告人简介：Yudong Cao obtained his PhD in Computer Science in 2016 from Purdue University. His thesis was awarded 2016 Chorafas Award in Computer Science and Informatics. From late 2016 till present he serves as a postdoctoral researcher at Harvard University, working with Alan Aspuru-Guzik on quantum algorithms for quantum chemistry and quantum machine learning. Recently, with other Harvard scientists he co-founded a Boston startup Zapata Computing focusing on quantum computing software development.
Personal Homepage: http://aspuru.chem.harvard.edu/yudong-cao/