【科•大数据论坛第20期】首都师范大学梁津敏学术报告

信息来源: 点击次数:发布时间:2021-11-16

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。

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