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第十五次钱学森讲座
清华大学材料科学与工程研究院《材料科学论坛》:固态电池中金属锂剥离与沉积过程的界...
从人类智能的进化看人工智能的发展及在雷达智能环境感知中的应用
卫健学术沙龙:基因科技如何造福人类
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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