{"title":"破解高斯玻色子采样的量子优势阈值","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":"{\"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}","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}
Cracking the Quantum Advantage Threshold for Gaussian Boson Sampling
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.
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