报告题目：Quantum neighborhood preserving embedding for dimensionality reduction
报告人：梁津敏
时间：11月19日(周五)18：30-19：30
地点：腾讯会议567604760
报告摘要：This talk contains two sections. In the first section, several basic quantum algorithms are reviewed including Deutsch-Jozsa algorithm, Grover search, quantum phase estimation, quantum linear solver, and variational quantum algorithm framework. In second section, I will introduce a quantum machine algorithm for dimensionality reduction-quantum neighborhood preserving embedding. Under some conditions, the proposed algorithm has an exponential speedup compared with corresponding classical counterpart.
报告人简介：梁津敏：男，首都师范大学博士研究生，硕士毕业于中国石油大学（华东），导师是申淑谦，现为首都师范大学博士研究生，导师是费少明教授。研究方向包括通用量子算法和变分量子算法设计及计算复杂度分析。
欢迎广大师生参加，联系人：陶元红。
