{"title":"快速计算与存储电路元件","authors":"M. Ventra, Y. Pershin","doi":"10.1109/CNNA.2012.6331429","DOIUrl":null,"url":null,"abstract":"Memory circuit elements - resistors, capacitors and inductors with memory - are electronic components with great potential in a wide range of applications. In particular, they are ideally suited to enhance all three major computing paradigms: binary, analog and quantum. Here, we consider how to achieve a faster computation with these elements. Specifically, we will show that a binary logic architecture combining memristive and memcapacitive elements requires considerably less steps to process information compared to architectures employing only memristive elements. In addition, we demonstrate that a network of memristive - as well as memcapacitive or meminductive - systems can solve a complex optimization problem - the maze problem - with unprecedented speed due to the analog parallelism afforded by these elements.","PeriodicalId":387536,"journal":{"name":"2012 13th International Workshop on Cellular Nanoscale Networks and their Applications","volume":"66 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Fast computation with memory circuit elements\",\"authors\":\"M. Ventra, Y. Pershin\",\"doi\":\"10.1109/CNNA.2012.6331429\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Memory circuit elements - resistors, capacitors and inductors with memory - are electronic components with great potential in a wide range of applications. In particular, they are ideally suited to enhance all three major computing paradigms: binary, analog and quantum. Here, we consider how to achieve a faster computation with these elements. Specifically, we will show that a binary logic architecture combining memristive and memcapacitive elements requires considerably less steps to process information compared to architectures employing only memristive elements. In addition, we demonstrate that a network of memristive - as well as memcapacitive or meminductive - systems can solve a complex optimization problem - the maze problem - with unprecedented speed due to the analog parallelism afforded by these elements.\",\"PeriodicalId\":387536,\"journal\":{\"name\":\"2012 13th International Workshop on Cellular Nanoscale Networks and their Applications\",\"volume\":\"66 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-10-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 13th International Workshop on Cellular Nanoscale Networks and their Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CNNA.2012.6331429\",\"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 13th International Workshop on Cellular Nanoscale Networks and their Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CNNA.2012.6331429","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Memory circuit elements - resistors, capacitors and inductors with memory - are electronic components with great potential in a wide range of applications. In particular, they are ideally suited to enhance all three major computing paradigms: binary, analog and quantum. Here, we consider how to achieve a faster computation with these elements. Specifically, we will show that a binary logic architecture combining memristive and memcapacitive elements requires considerably less steps to process information compared to architectures employing only memristive elements. In addition, we demonstrate that a network of memristive - as well as memcapacitive or meminductive - systems can solve a complex optimization problem - the maze problem - with unprecedented speed due to the analog parallelism afforded by these elements.