DocumentCode :
2926123
Title :
A Proposal of a Quantum Search Algorithm
Author :
Arima, Keisuke ; Shigei, Noritaka ; Miyajima, Hiromi
Author_Institution :
Grad. Sch. of Sci. & Eng., Kagoshima Univ., Kagoshima, Japan
fYear :
2009
fDate :
24-26 Nov. 2009
Firstpage :
1559
Lastpage :
1564
Abstract :
For searching an unsorted database with N items, a classical computer requires O(N) steps but Grover´s quantum searching algorithm requires only O(¿N) steps. However, it is also known that Grover´s algorithm is effective in the case where the initial amplitude distribution of dataset is uniform, but is not always effective in the non-uniform case. In this paper, we will consider the influence of initial amplitude distribution of dataset for Grover´s and Ventura´s algorithms. Further, in order to improve the performance of quantum searching, we propose a new algorithm and analyze its dynamics.
Keywords :
database indexing; quantum computing; query formulation; Grover quantum searching algorithm; Ventura algorithms; initial amplitude dataset distribution; quantum search algorithm; unsorted database; Algorithm design and analysis; Data engineering; Databases; Discrete Fourier transforms; Distributed computing; Information technology; Performance analysis; Proposals; Quantum computing; Zinc; Grover´s algorithm; Ventura´s algorithm; initial amplitude distribution; quantum search;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Sciences and Convergence Information Technology, 2009. ICCIT '09. Fourth International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-1-4244-5244-6
Electronic_ISBN :
978-0-7695-3896-9
Type :
conf
DOI :
10.1109/ICCIT.2009.126
Filename :
5369930
Link To Document :
بازگشت