{"title":"近似等级的通信上限","authors":"Anna Gál, Ridwan Syed","doi":"10.1007/s00224-023-10158-4","DOIUrl":null,"url":null,"abstract":"<p>We show that any Boolean function with approximate rank <i>r</i> can be computed by bounded-error quantum protocols without prior entanglement of complexity <span>\\(O( \\sqrt{r} \\log r)\\)</span>. In addition, we show that any Boolean function with approximate rank <i>r</i> and discrepancy <span>\\(\\delta \\)</span> can be computed by deterministic protocols of complexity <i>O</i>(<i>r</i>), and private coin bounded-error randomized protocols of complexity <span>\\(O((\\frac{1}{\\delta })^2 + \\log r)\\)</span>. Our deterministic upper bound in terms of approximate rank is tight up to constant factors, and the dependence on discrepancy in our randomized upper bound is tight up to taking square-roots. Our results can be used to obtain lower bounds on approximate rank. We also obtain a strengthening of Newman’s theorem with respect to approximate rank.</p>","PeriodicalId":22832,"journal":{"name":"Theory of Computing Systems","volume":"29 1","pages":""},"PeriodicalIF":0.6000,"publicationDate":"2023-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Upper Bounds on Communication in Terms of Approximate Rank\",\"authors\":\"Anna Gál, Ridwan Syed\",\"doi\":\"10.1007/s00224-023-10158-4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>We show that any Boolean function with approximate rank <i>r</i> can be computed by bounded-error quantum protocols without prior entanglement of complexity <span>\\\\(O( \\\\sqrt{r} \\\\log r)\\\\)</span>. In addition, we show that any Boolean function with approximate rank <i>r</i> and discrepancy <span>\\\\(\\\\delta \\\\)</span> can be computed by deterministic protocols of complexity <i>O</i>(<i>r</i>), and private coin bounded-error randomized protocols of complexity <span>\\\\(O((\\\\frac{1}{\\\\delta })^2 + \\\\log r)\\\\)</span>. Our deterministic upper bound in terms of approximate rank is tight up to constant factors, and the dependence on discrepancy in our randomized upper bound is tight up to taking square-roots. Our results can be used to obtain lower bounds on approximate rank. We also obtain a strengthening of Newman’s theorem with respect to approximate rank.</p>\",\"PeriodicalId\":22832,\"journal\":{\"name\":\"Theory of Computing Systems\",\"volume\":\"29 1\",\"pages\":\"\"},\"PeriodicalIF\":0.6000,\"publicationDate\":\"2023-12-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Theory of Computing Systems\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.1007/s00224-023-10158-4\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"COMPUTER SCIENCE, THEORY & METHODS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Theory of Computing Systems","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1007/s00224-023-10158-4","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, THEORY & METHODS","Score":null,"Total":0}
Upper Bounds on Communication in Terms of Approximate Rank
We show that any Boolean function with approximate rank r can be computed by bounded-error quantum protocols without prior entanglement of complexity \(O( \sqrt{r} \log r)\). In addition, we show that any Boolean function with approximate rank r and discrepancy \(\delta \) can be computed by deterministic protocols of complexity O(r), and private coin bounded-error randomized protocols of complexity \(O((\frac{1}{\delta })^2 + \log r)\). Our deterministic upper bound in terms of approximate rank is tight up to constant factors, and the dependence on discrepancy in our randomized upper bound is tight up to taking square-roots. Our results can be used to obtain lower bounds on approximate rank. We also obtain a strengthening of Newman’s theorem with respect to approximate rank.
期刊介绍:
TOCS is devoted to publishing original research from all areas of theoretical computer science, ranging from foundational areas such as computational complexity, to fundamental areas such as algorithms and data structures, to focused areas such as parallel and distributed algorithms and architectures.