{"title":"量子计算：物理学与人工智能合作消除量子错误","authors":"Nadia Haider","doi":"10.1038/d41586-024-03557-1","DOIUrl":null,"url":null,"abstract":"A neural network has learnt to correct the errors that arise during quantum computation, outperforming algorithms that were designed by humans. The strategy sets out a promising path towards practical quantum computers. Machine-learning strategy for quantum error correction.","PeriodicalId":18787,"journal":{"name":"Nature","volume":"635 8040","pages":"822-823"},"PeriodicalIF":50.5000,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Quantum computing: physics–AI collaboration quashes quantum errors\",\"authors\":\"Nadia Haider\",\"doi\":\"10.1038/d41586-024-03557-1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A neural network has learnt to correct the errors that arise during quantum computation, outperforming algorithms that were designed by humans. The strategy sets out a promising path towards practical quantum computers. Machine-learning strategy for quantum error correction.\",\"PeriodicalId\":18787,\"journal\":{\"name\":\"Nature\",\"volume\":\"635 8040\",\"pages\":\"822-823\"},\"PeriodicalIF\":50.5000,\"publicationDate\":\"2024-11-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nature\",\"FirstCategoryId\":\"103\",\"ListUrlMain\":\"https://www.nature.com/articles/d41586-024-03557-1\",\"RegionNum\":1,\"RegionCategory\":\"综合性期刊\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MULTIDISCIPLINARY SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature","FirstCategoryId":"103","ListUrlMain":"https://www.nature.com/articles/d41586-024-03557-1","RegionNum":1,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
A neural network has learnt to correct the errors that arise during quantum computation, outperforming algorithms that were designed by humans. The strategy sets out a promising path towards practical quantum computers. Machine-learning strategy for quantum error correction.
期刊介绍：
Nature is a prestigious international journal that publishes peer-reviewed research in various scientific and technological fields. The selection of articles is based on criteria such as originality, importance, interdisciplinary relevance, timeliness, accessibility, elegance, and surprising conclusions. In addition to showcasing significant scientific advances, Nature delivers rapid, authoritative, insightful news, and interpretation of current and upcoming trends impacting science, scientists, and the broader public. The journal serves a dual purpose: firstly, to promptly share noteworthy scientific advances and foster discussions among scientists, and secondly, to ensure the swift dissemination of scientific results globally, emphasizing their significance for knowledge, culture, and daily life.
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