Title :
PQ Key — A novel key generation algorithm for processing big data using quantum computing
Author :
Pradeep Kumar, K.G.
Author_Institution :
Dept. of Comput. Sci., SDM Inst. of Technol., Belgaum, India
Abstract :
This paper proposes combining the concepts of quantum computing and big data. The idea of using the concept of quantum computing for processing the big data is suggested. Quantum computing is the advanced computing technology where we think ahead of our conventional binary bits. This is based on the quantum physics which states that a material can be at more than one place at a time. This concept, when used in our conventional computing systems, will have the third bit called the superimposed bit that can be in two states at a time. The term big data is used to refer to the huge amounts of data collected. The data being collected is increasing exponentially. According to a study conducted by McKinsey Global Institute, the data volume is growing 40% every year; and with the increasing number of users and research areas, one can expect much more growth in the data volume. With this kind of growing data, the need arises for faster processing and analysis methods giving better performance to the end users and the analytics. In this paper, a new algorithm, named as PQ-Key, is proposed for processing the big data using quantum computing.
Keywords :
Big Data; quantum computing; Big Data processing; McKinsey Global Institute; PQ key algorithm; computing technology; data volume; key generation algorithm; quantum computing; quantum physics; superimposed bit; Big data; File system; Hadoop; Map Reduce; Quantum Computing;
Conference_Titel :
Research & Technology in the Coming Decades (CRT 2013), National Conference on Challenges in
Conference_Location :
Ujire
Electronic_ISBN :
978-1-84919-868-4
DOI :
10.1049/cp.2013.2481