{"title":"不关心可逆函数的基本量子门电路的精确合成","authors":"Daniel Große, R. Wille, G. Dueck, R. Drechsler","doi":"10.1109/ISMVL.2008.42","DOIUrl":null,"url":null,"abstract":"Compact realizations of reversible logic functions are of interest in the design of quantum computers. In this paper we present an exact synthesis algorithm, based on Boolean satisfiability (SAT), that finds the minimal elementary quantum gate realization for a given reversible function. Since these gates work in terms of qubits, a multi-valued encoding is proposed. Don't care conditions appear naturally in many reversible functions. Constant inputs are often required when a function is embedded into a reversible one. The proposed algorithm takes full advantage of don't care conditions and automatically sets the constant inputs to their optimal values. The effectiveness of the algorithm is shown on a set of benchmark functions.","PeriodicalId":243752,"journal":{"name":"38th International Symposium on Multiple Valued Logic (ismvl 2008)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"50","resultStr":"{\"title\":\"Exact Synthesis of Elementary Quantum Gate Circuits for Reversible Functions with Don't Cares\",\"authors\":\"Daniel Große, R. Wille, G. Dueck, R. Drechsler\",\"doi\":\"10.1109/ISMVL.2008.42\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Compact realizations of reversible logic functions are of interest in the design of quantum computers. In this paper we present an exact synthesis algorithm, based on Boolean satisfiability (SAT), that finds the minimal elementary quantum gate realization for a given reversible function. Since these gates work in terms of qubits, a multi-valued encoding is proposed. Don't care conditions appear naturally in many reversible functions. Constant inputs are often required when a function is embedded into a reversible one. The proposed algorithm takes full advantage of don't care conditions and automatically sets the constant inputs to their optimal values. The effectiveness of the algorithm is shown on a set of benchmark functions.\",\"PeriodicalId\":243752,\"journal\":{\"name\":\"38th International Symposium on Multiple Valued Logic (ismvl 2008)\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-05-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"50\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"38th International Symposium on Multiple Valued Logic (ismvl 2008)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISMVL.2008.42\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"38th International Symposium on Multiple Valued Logic (ismvl 2008)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISMVL.2008.42","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Exact Synthesis of Elementary Quantum Gate Circuits for Reversible Functions with Don't Cares
Compact realizations of reversible logic functions are of interest in the design of quantum computers. In this paper we present an exact synthesis algorithm, based on Boolean satisfiability (SAT), that finds the minimal elementary quantum gate realization for a given reversible function. Since these gates work in terms of qubits, a multi-valued encoding is proposed. Don't care conditions appear naturally in many reversible functions. Constant inputs are often required when a function is embedded into a reversible one. The proposed algorithm takes full advantage of don't care conditions and automatically sets the constant inputs to their optimal values. The effectiveness of the algorithm is shown on a set of benchmark functions.