from    
to    
search  

 


Protein Mechanics: from Single Molecule Force Spectroscopy toProtein-based Bi...
化工系膜中心学术论坛-MOF Chemistry: From design strategies to Applications
清华大学材料科学与工程研究院《材料科学论坛》学术报告:Multi-aspect characteri...
Brain-like spiking neural networks: A 4th generation of neural network models
报告题目:
Quantum walk based search algorithms
 报告人:
Miklos Santha
Universite Paris Sud, Laboratoire de Recherche en Informatique
France
报告时间:
2008-04-23 16:30
报告地点:
Room 4-603, FIT Building, Tsinghua University
主办单位:
ITCS, Tsinghua University
  简介:
In this survey talk we give an intuitive treatment of the discrete time quantization of classical Markov chains. Grover search and the quantum walk based search algorithms of Ambainis, Szegedy and Magniez/Nayak/Roland/Santha will be stated as quantum analogues of classical search procedures. We present a rather detailed description of the MNRS algorithm. Finally, in the query complexity model, we show how quantum walks can be applied to the following search problems: Element Distinctness, Matrix Product Verification, Restricted Range Associativity, Triangle, and Group Commutativity.

Miklos Santha is a research director of Information Research Lab in Paris-Sud University. His fields of interest are theoretical computer science, quantum and approximation algorithms.

今日相关信息
美国的区域水资源控制与政策—以加利福尼亚...
【时代论坛】戏剧--以先锋的名义
<奥运百日聊奥运之--无线互联>科技奥运 ...
阅读、观看与使用--三种不同的信息行为
 
同类别相关信息
Are there insights from Quantum Co...
Correlations: From Classical to Qua...
清华信息大讲堂第149讲:Wireless Comm...
国家实验室青年创新基金学术沙龙——大数...
陈岱孙经济学纪念讲座:全球经济面临的增...
学术活动