时间：2016年4月5日下午2:00-3:00 地点：玉泉校区行政楼108会议室 题目：Network measures from continuous-time quantum walks 报告人：Dr. Luca Rossi

Abstract:

Information diffusion and Markovian random walks are among the most extensively studied processes on networks and have led to the definition of a remarkably large amount of structural characterisations, from Google’s Page Rank centrality measure to Estrada’s notion of network communicability.

More recently, a growing number of researchers have started investigating quantum walks, the quantum mechanical analogue of classical random walks, as a primitive for designing novel quantum algorithms on networks. In this talk I will present a number of network measures inspired by quantum walks. These include symmetry, centrality and similarity measures. Finally, I will conclude the talk with a brief overview of ongoing works.

Biography:

Dr. Luca Rossi is a Lecturer in Computer Science at the School of Engineering and Applied Science, Aston University (UK), where he is a member of the System Analytics Research Institute. He received his PhD in Computer Science at Ca' Foscari University of Venice (Italy) in 2013 with a thesis on graph-based pattern recognition.

In 2012 he was a visiting researcher at the University of York (UK), where he worked under the supervision of Prof. Edwin Hancock. During this period, he investigated novel ways to apply quantum models, and particularly quantum walks, to graph-based pattern recognition and complex networks analysis.

Before joining Aston University in 2015, he worked as a Postdoctoral Research Fellow at the School of Computer Science of the University of Birmingham (UK), where he studied the interplay between big data analysis and privacy issues.

Dr. Rossi has published 30 papers in international journals and conferences. His current research interests are in the areas of Structural Pattern Recognition, Data and Network Science.