{"title":"Shor’s algorithm does not factor large integers in the presence of noise","authors":"Jin-Yi Cai","doi":"10.1007/s11432-023-3961-3","DOIUrl":null,"url":null,"abstract":"<p>We consider Shor’s quantum factoring algorithm in the setting of noisy quantum gates. Under a generic model of random noise for (controlled) rotation gates, we prove that the algorithm does not factor integers of the form <i>pq</i> when the noise exceeds a vanishingly small level in terms of <i>n</i>—the number of bits of the integer to be factored, where <i>p</i> and <i>q</i> are from a well-defined set of primes of positive density. We further prove that with probability 1 − <i>o</i>(1) over random prime pairs (<i>p, q</i>), Shor’s factoring algorithm does not factor numbers of the form <i>pq</i>, with the same level of random noise present.</p>","PeriodicalId":21618,"journal":{"name":"Science China Information Sciences","volume":null,"pages":null},"PeriodicalIF":7.3000,"publicationDate":"2024-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Science China Information Sciences","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1007/s11432-023-3961-3","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
We consider Shor’s quantum factoring algorithm in the setting of noisy quantum gates. Under a generic model of random noise for (controlled) rotation gates, we prove that the algorithm does not factor integers of the form pq when the noise exceeds a vanishingly small level in terms of n—the number of bits of the integer to be factored, where p and q are from a well-defined set of primes of positive density. We further prove that with probability 1 − o(1) over random prime pairs (p, q), Shor’s factoring algorithm does not factor numbers of the form pq, with the same level of random noise present.
期刊介绍:
Science China Information Sciences is a dedicated journal that showcases high-quality, original research across various domains of information sciences. It encompasses Computer Science & Technologies, Control Science & Engineering, Information & Communication Engineering, Microelectronics & Solid-State Electronics, and Quantum Information, providing a platform for the dissemination of significant contributions in these fields.