{"title":"Cracking the Quantum Advantage Threshold for Gaussian Boson Sampling","authors":"A. S. Popova, A. N. Rubtsov","doi":"10.1364/quantum.2022.qw2a.15","DOIUrl":null,"url":null,"abstract":"Here we challenge the quantum advantage claimed for the Gaussian Boson Sampling experiment by introducing an approximate polynomial-time algorithm. Our fourth-order approximation gives an accuracy comparable with that of the experiment.","PeriodicalId":369002,"journal":{"name":"Quantum 2.0 Conference and Exhibition","volume":"86 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Quantum 2.0 Conference and Exhibition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1364/quantum.2022.qw2a.15","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 15
Abstract
Here we challenge the quantum advantage claimed for the Gaussian Boson Sampling experiment by introducing an approximate polynomial-time algorithm. Our fourth-order approximation gives an accuracy comparable with that of the experiment.
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
