{"title":"证明随机性","authors":"V. Scarani","doi":"10.1093/oso/9780198788416.003.0008","DOIUrl":null,"url":null,"abstract":"Nonlocality certifies that the outputs of a measurement did not pre-exist, which in particular means that they were unpredictable or random. In other words, nonlocality certifies randomness in a device-independent way. This chapter introduces the main tools for the study and quantification of randomness: process randomness, the need for a predictor or adversary, and guessing probability. Examples are then explicitly worked out, and a review of more advanced results is provided.","PeriodicalId":135183,"journal":{"name":"Bell Nonlocality","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2019-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Certifying Randomness\",\"authors\":\"V. Scarani\",\"doi\":\"10.1093/oso/9780198788416.003.0008\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Nonlocality certifies that the outputs of a measurement did not pre-exist, which in particular means that they were unpredictable or random. In other words, nonlocality certifies randomness in a device-independent way. This chapter introduces the main tools for the study and quantification of randomness: process randomness, the need for a predictor or adversary, and guessing probability. Examples are then explicitly worked out, and a review of more advanced results is provided.\",\"PeriodicalId\":135183,\"journal\":{\"name\":\"Bell Nonlocality\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-08-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Bell Nonlocality\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1093/oso/9780198788416.003.0008\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Bell Nonlocality","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/oso/9780198788416.003.0008","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Nonlocality certifies that the outputs of a measurement did not pre-exist, which in particular means that they were unpredictable or random. In other words, nonlocality certifies randomness in a device-independent way. This chapter introduces the main tools for the study and quantification of randomness: process randomness, the need for a predictor or adversary, and guessing probability. Examples are then explicitly worked out, and a review of more advanced results is provided.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
