{"title":"Wave composition rules in quantum system theory","authors":"M. Svítek","doi":"10.14311/nnw.2020.30.004","DOIUrl":null,"url":null,"abstract":"The paper presents the new approach to wave composition rules for advanced modeling of soft systems in quantum system theory. Firstly, the interpretation of phase parameters is given. The phase parameters are essential to specify the mathematical operations assigned to different relations among subsystems, e.g. co-operation, connection, co-existence, competition. Using wave composition rules, we are able to create more complex and sophisticated quantum circuits. We present the application of methodology on three illustrative examples.","PeriodicalId":49765,"journal":{"name":"Neural Network World","volume":"30 1","pages":"55-64"},"PeriodicalIF":0.7000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Neural Network World","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.14311/nnw.2020.30.004","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
引用次数: 2
Abstract
The paper presents the new approach to wave composition rules for advanced modeling of soft systems in quantum system theory. Firstly, the interpretation of phase parameters is given. The phase parameters are essential to specify the mathematical operations assigned to different relations among subsystems, e.g. co-operation, connection, co-existence, competition. Using wave composition rules, we are able to create more complex and sophisticated quantum circuits. We present the application of methodology on three illustrative examples.
期刊介绍:
Neural Network World is a bimonthly journal providing the latest developments in the field of informatics with attention mainly devoted to the problems of:
brain science,
theory and applications of neural networks (both artificial and natural),
fuzzy-neural systems,
methods and applications of evolutionary algorithms,
methods of parallel and mass-parallel computing,
problems of soft-computing,
methods of artificial intelligence.