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集成电路系列学术邀请报告第08期:Software Approach to SoC Design
全球变化科学紫荆论坛第431期:有机气溶胶冰云效应数值模拟的发展与探索
”城市前沿讲堂”第7期——可持续发展的国土空间形态
”城市前沿讲堂”第6期——城市基础设施灾害韧性管理
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.

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