منابع مشابه
Google in a Quantum Network
We introduce the characterization of a class of quantum PageRank algorithms in a scenario in which some kind of quantum network is realizable out of the current classical internet web, but no quantum computer is yet available. This class represents a quantization of the PageRank protocol currently employed to list web pages according to their importance. We have found an instance of this class ...
متن کاملQuantum Google in a Complex Network
We investigate the behaviour of the recently proposed Quantum PageRank algorithm, in large complex networks. We find that the algorithm is able to univocally reveal the underlying topology of the network and to identify and order the most relevant nodes. Furthermore, it is capable to clearly highlight the structure of secondary hubs and to resolve the degeneracy in importance of the low lying p...
متن کاملGoogle-bombing - Manipulating the PageRank Algorithm
With the growth of the Internet, the field of Information Retrieval (IR) has gained increasing importance. Quick, easy, and accurate information access is the deciding factor between successful search companies and their rivals. Likewise, the manipulation of IR systems for ulterior motives, known as adversarial IR, is just as important, as it can turn the successes of a search strategy against ...
متن کاملGoogle Scholar’s Ranking Algorithm: An Introductory Overview
Google Scholar is one of the major academic search engines but its ranking algorithm for academic articles is unknown. We performed the first steps to reverse-engineering Google Scholar’s ranking algorithm and present the results in this research-in-progress paper. The results are: Citation counts is the highest weighed factor in Google Scholar’s ranking algorithm. Therefore, highly cited artic...
متن کاملOptimization of Quantum Cellular Automata Circuits by Genetic Algorithm
Quantum cellular automata (QCA) enables performing arithmetic and logic operations at the molecular scale. This nanotechnology promises high device density, low power consumption and high computational power. Unlike the CMOS technology where the ON and OFF states of the transistors represent binary information, in QCA, data is represented by the charge configuration. The primary and basic devic...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: The European Physical Journal Plus
سال: 2014
ISSN: 2190-5444
DOI: 10.1140/epjp/i2014-14150-y