{"title":"基于量子位{00,11}的量子最小/最大算法","authors":"A. Odeh, Eman Abdelfattah","doi":"10.1109/LISAT.2017.8001972","DOIUrl":null,"url":null,"abstract":"Quantum algorithms have gained a lot of consideration especially for the need to find out the extreme values like minimum or maximum. This paper introduces novel quantum algorithms to figure out the minimum and the maximum numbers among a set of positive integer numbers by employing some of the quantum features such as superposition, entanglement, and probability. The proposed algorithms utilize qubits properties to accelerate the searching process.","PeriodicalId":370931,"journal":{"name":"2017 IEEE Long Island Systems, Applications and Technology Conference (LISAT)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Quantum min / max algorithms based on qubits {00, 11}\",\"authors\":\"A. Odeh, Eman Abdelfattah\",\"doi\":\"10.1109/LISAT.2017.8001972\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Quantum algorithms have gained a lot of consideration especially for the need to find out the extreme values like minimum or maximum. This paper introduces novel quantum algorithms to figure out the minimum and the maximum numbers among a set of positive integer numbers by employing some of the quantum features such as superposition, entanglement, and probability. The proposed algorithms utilize qubits properties to accelerate the searching process.\",\"PeriodicalId\":370931,\"journal\":{\"name\":\"2017 IEEE Long Island Systems, Applications and Technology Conference (LISAT)\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-05-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE Long Island Systems, Applications and Technology Conference (LISAT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/LISAT.2017.8001972\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE Long Island Systems, Applications and Technology Conference (LISAT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/LISAT.2017.8001972","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Quantum min / max algorithms based on qubits {00, 11}
Quantum algorithms have gained a lot of consideration especially for the need to find out the extreme values like minimum or maximum. This paper introduces novel quantum algorithms to figure out the minimum and the maximum numbers among a set of positive integer numbers by employing some of the quantum features such as superposition, entanglement, and probability. The proposed algorithms utilize qubits properties to accelerate the searching process.