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| Quantum search algorithm based on fuzzy problem | |
| Zhuang, Jiayu (1); Zhao, Junsuo (1); Xu, Fanjiang (1); Zhan, Wenjun (1); Li, Dan (1); Zhang, Heng (1) | |
| 2014 | |
| Conference Name | 2013 3rd International Conference on Advanced Materials and Information Technology Processing, AMITP 2013 |
| Pages | 759-764 |
| Conference Date | October 1, 2013 - October 2, 2013 |
| Conference Place | Los Angeles, CA, United states |
| Indexed Type | EI |
| Publish Place | WITPress |
| ISSN | 17433533 |
| ISBN | 9781845648534 |
| Department | (1) Science and Technology on Integrated Information System Laboratory, Institute of Software Chinese Academy of Sciences, Beijing, China |
| English Abstract | A quantum computation problem of quantum search is discussed in this paper. This paper focused on researching the quantum search problem with an unknown amount of solutions. Grover's search algorithm, the most commonly used quantum search algorithm, is introduced in detail. The flow of quantum search algorithm and the quantum procedure model are shown. And the iteration steps in different quantum search problems are analyzed. The quantum search algorithm is powerless in fuzzy search problems by simulation and mathematical analysis. © 2014 WIT Press.; A quantum computation problem of quantum search is discussed in this paper. This paper focused on researching the quantum search problem with an unknown amount of solutions. Grover's search algorithm, the most commonly used quantum search algorithm, is introduced in detail. The flow of quantum search algorithm and the quantum procedure model are shown. And the iteration steps in different quantum search problems are analyzed. The quantum search algorithm is powerless in fuzzy search problems by simulation and mathematical analysis. © 2014 WIT Press. |
| Language | 英语 |
| Content Type | 会议论文 |
| URI | http://ir.iscas.ac.cn/handle/311060/16612 |
| Collection | 中国科学院软件研究所 |
| Recommended Citation GB/T 7714 | Zhuang, Jiayu ,Zhao, Junsuo ,Xu, Fanjiang ,et al. Quantum search algorithm based on fuzzy problem[C]. WITPress,2014:759-764. |
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