{"title":"一种新的量子模糊c -中位数算法","authors":"P. Srivastava, Manikanta Nallabelly, V. Verma","doi":"10.1109/ICCSE.2009.5228262","DOIUrl":null,"url":null,"abstract":"The term “quantization” refers to the process of using quantum mechanics in order to improve a classical algorithm, by making it run faster. In this paper, this quantization process was achieved using variations on a celebrated quantum algorithm due to Grover. Later, this approach to unsupervised learning was illustrated with a quantized version of standard clustering algorithm: Fuzzy C-Means. A significant speedup compared to the classical approach was achieved on analyzing the running time of the proposed algorithm.","PeriodicalId":303484,"journal":{"name":"2009 4th International Conference on Computer Science & Education","volume":"33 7","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A novel quantumized Fuzzy C-medians algorithm\",\"authors\":\"P. Srivastava, Manikanta Nallabelly, V. Verma\",\"doi\":\"10.1109/ICCSE.2009.5228262\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The term “quantization” refers to the process of using quantum mechanics in order to improve a classical algorithm, by making it run faster. In this paper, this quantization process was achieved using variations on a celebrated quantum algorithm due to Grover. Later, this approach to unsupervised learning was illustrated with a quantized version of standard clustering algorithm: Fuzzy C-Means. A significant speedup compared to the classical approach was achieved on analyzing the running time of the proposed algorithm.\",\"PeriodicalId\":303484,\"journal\":{\"name\":\"2009 4th International Conference on Computer Science & Education\",\"volume\":\"33 7\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-07-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 4th International Conference on Computer Science & Education\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCSE.2009.5228262\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 4th International Conference on Computer Science & Education","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSE.2009.5228262","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The term “quantization” refers to the process of using quantum mechanics in order to improve a classical algorithm, by making it run faster. In this paper, this quantization process was achieved using variations on a celebrated quantum algorithm due to Grover. Later, this approach to unsupervised learning was illustrated with a quantized version of standard clustering algorithm: Fuzzy C-Means. A significant speedup compared to the classical approach was achieved on analyzing the running time of the proposed algorithm.