{"title":"基于启发式搜索法的可逆电路综合","authors":"K. Datta, G. Rathi, I. Sengupta, H. Rahaman","doi":"10.1109/VLSID.2012.92","DOIUrl":null,"url":null,"abstract":"Reversible circuits are of vital importance in many applications involving low power design. One of the principle areas where reversible circuits play great role is quantum computing. One of the foremost requirements of quantum computation is that it requires all the circuits that are used should be reversible in nature. Reversible circuit is one which maps an individual input vector to a singular output vector. Because of its application in many areas including quantum computing, many synthesis approaches have been developed. In this paper we focus on a synthesis approach which is based on permutation theory and heuristic search. An artificial intelligence based search technique A* is used to find near optimal solutions. Experimental results demonstrate that the proposed approach provides solutions within a very reasonable span of time.","PeriodicalId":405021,"journal":{"name":"2012 25th International Conference on VLSI Design","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"22","resultStr":"{\"title\":\"Synthesis of Reversible Circuits Using Heuristic Search Method\",\"authors\":\"K. Datta, G. Rathi, I. Sengupta, H. Rahaman\",\"doi\":\"10.1109/VLSID.2012.92\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Reversible circuits are of vital importance in many applications involving low power design. One of the principle areas where reversible circuits play great role is quantum computing. One of the foremost requirements of quantum computation is that it requires all the circuits that are used should be reversible in nature. Reversible circuit is one which maps an individual input vector to a singular output vector. Because of its application in many areas including quantum computing, many synthesis approaches have been developed. In this paper we focus on a synthesis approach which is based on permutation theory and heuristic search. An artificial intelligence based search technique A* is used to find near optimal solutions. Experimental results demonstrate that the proposed approach provides solutions within a very reasonable span of time.\",\"PeriodicalId\":405021,\"journal\":{\"name\":\"2012 25th International Conference on VLSI Design\",\"volume\":\"52 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-01-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"22\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 25th International Conference on VLSI Design\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/VLSID.2012.92\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 25th International Conference on VLSI Design","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VLSID.2012.92","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Synthesis of Reversible Circuits Using Heuristic Search Method
Reversible circuits are of vital importance in many applications involving low power design. One of the principle areas where reversible circuits play great role is quantum computing. One of the foremost requirements of quantum computation is that it requires all the circuits that are used should be reversible in nature. Reversible circuit is one which maps an individual input vector to a singular output vector. Because of its application in many areas including quantum computing, many synthesis approaches have been developed. In this paper we focus on a synthesis approach which is based on permutation theory and heuristic search. An artificial intelligence based search technique A* is used to find near optimal solutions. Experimental results demonstrate that the proposed approach provides solutions within a very reasonable span of time.