内容：

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.
 

人物介绍：

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.