{"id":11096,"date":"2023-03-03T11:36:16","date_gmt":"2023-03-03T10:36:16","guid":{"rendered":"https:\/\/sano.science\/?p=11096"},"modified":"2023-08-07T15:26:34","modified_gmt":"2023-08-07T13:26:34","slug":"sano-article-published-in-nature","status":"publish","type":"post","link":"https:\/\/sano.science\/sano-article-published-in-nature\/","title":{"rendered":"Sano article published in Scientific Reports"},"content":{"rendered":"\n

The study, which was recently published in Scientific Reports, explored the potential of quantum computing for brain-wide community detection. Analysis showed that quantum computers are capable of rendering highly efficient community structures with modularity indices superior to classical algorithms. One of the most noteworthy results was that the community structure can be obtained \u201call at once\u201d. The approach described enables the computation of any number of clusters, in contrast to previous methods that were limited to computing clusters in powers of 2. 

Community detection is a pivotal issue in computational neuroscience since recent advancements in network neuroscience showed that brain as a small-world system with an efficient integration-segregation balance that facilitates different cognitive tasks and functions, as well as potential disfunctions.  

The paper \u201cCommunity detection in brain connectomes with hybrid quantum computing\u201d is available here<\/strong>: https:\/\/www.nature.com\/articles\/s41598-023-30579-y<\/a> <\/p>\n","protected":false},"excerpt":"Researchers from the Computer Vision Data Science Team at Sano and the Institute of Mathematics at the University of Warsaw have successfully applied quantum computing techniques to discover structure in brain networks.\u00a0","author":7,"featured_media":13244,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"editor_plus_post_options":"{}","editor_plus_copied_stylings":"{}","footnotes":""},"categories":[1],"tags":[],"class_list":["post-11096","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized"],"yoast_head":"\nSano article published in Scientific Reports - Centre for Computational Personalized Medicine<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/sano.science\/sano-article-published-in-nature\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Sano article published in Scientific Reports\" \/>\n<meta property=\"og:description\" content=\"Researchers from the Computer Vision Data Science Team at Sano and the Institute of Mathematics at the University of Warsaw have successfully applied quantum computing techniques to discover structure in brain networks.\u00a0\" \/>\n<meta property=\"og:url\" content=\"https:\/\/sano.science\/sano-article-published-in-nature\/\" \/>\n<meta property=\"og:site_name\" content=\"Centre for Computational Personalized Medicine\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/sano.science\/\" \/>\n<meta property=\"article:published_time\" content=\"2023-03-03T10:36:16+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2023-08-07T13:26:34+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/sano.science\/wp-content\/uploads\/2023\/03\/scientific-reports.png\" \/>\n\t<meta property=\"og:image:width\" content=\"733\" \/>\n\t<meta property=\"og:image:height\" content=\"414\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"ict\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@sanoscience\" \/>\n<meta name=\"twitter:site\" content=\"@sanoscience\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"ict\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/sano.science\\\/sano-article-published-in-nature\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/sano.science\\\/sano-article-published-in-nature\\\/\"},\"author\":{\"name\":\"ict\",\"@id\":\"https:\\\/\\\/sano.science\\\/#\\\/schema\\\/person\\\/679dab979bad335501f6f78ea17cffc0\"},\"headline\":\"Sano article published in Scientific Reports\",\"datePublished\":\"2023-03-03T10:36:16+00:00\",\"dateModified\":\"2023-08-07T13:26:34+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/sano.science\\\/sano-article-published-in-nature\\\/\"},\"wordCount\":153,\"publisher\":{\"@id\":\"https:\\\/\\\/sano.science\\\/#organization\"},\"image\":{\"@id\":\"https:\\\/\\\/sano.science\\\/sano-article-published-in-nature\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/sano.science\\\/wp-content\\\/uploads\\\/2023\\\/03\\\/scientific-reports.png\",\"inLanguage\":\"en-US\"},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/sano.science\\\/sano-article-published-in-nature\\\/\",\"url\":\"https:\\\/\\\/sano.science\\\/sano-article-published-in-nature\\\/\",\"name\":\"Sano article published in Scientific Reports - 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Analysis showed that quantum computers are capable of rendering highly efficient community structures with modularity indices superior to classical algorithms. One of the most noteworthy results was that the community structure can be obtained \u201call at once\u201d. The approach described enables the computation of any number of clusters, in contrast to previous methods that were limited to computing clusters in powers of 2. <br><br>Community detection is a pivotal issue in computational neuroscience since recent advancements in network neuroscience showed that brain as a small-world system with an efficient integration-segregation balance that facilitates different cognitive tasks and functions, as well as potential disfunctions.  <br><br><strong>The paper \u201cCommunity detection in brain connectomes with hybrid quantum computing\u201d is available here<\/strong>: <a href=\"https:\/\/www.nature.com\/articles\/s41598-023-30579-y\">https:\/\/www.nature.com\/articles\/s41598-023-30579-y<\/a> <\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">The study, which was recently published in Scientific Reports, explored the potential of quantum computing for brain-wide community detection. Analysis showed that quantum computers are capable of rendering highly efficient community structures with modularity indices superior to classical algorithms. One of the most noteworthy results was that the community structure can be obtained \u201call at once\u201d. The approach described enables the computation of any number of clusters, in contrast to previous methods that were limited to computing clusters in powers of 2. <br><br>Community detection is a pivotal issue in computational neuroscience since recent advancements in network neuroscience showed that brain as a small-world system with an efficient integration-segregation balance that facilitates different cognitive tasks and functions, as well as potential disfunctions.  <br><br><strong>The paper \u201cCommunity detection in brain connectomes with hybrid quantum computing\u201d is available here<\/strong>: <a href=\"https:\/\/www.nature.com\/articles\/s41598-023-30579-y\">https:\/\/www.nature.com\/articles\/s41598-023-30579-y<\/a> <\/p>\n"]}],"meta_data":{"has_thumbnail_pattern":false,"share_on_social_media":{"has_social_media":false}},"featured_image":{"url":"https:\/\/sano.science\/wp-content\/uploads\/2023\/03\/scientific-reports.png"},"main_category":{"name":"Uncategorized"},"prev_page":{"slug":"prof-marek-michalewicz-sano-is-a-very-interesting-and-a-very-promising-new-centre"},"next_page":{"slug":"sano-phd-student-monika-pytlarz-presented-her-work-at-spie-medical-imaging-conference-in-san-diego-usa"},"_links":{"self":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/posts\/11096","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/users\/7"}],"replies":[{"embeddable":true,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/comments?post=11096"}],"version-history":[{"count":2,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/posts\/11096\/revisions"}],"predecessor-version":[{"id":13245,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/posts\/11096\/revisions\/13245"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/media\/13244"}],"wp:attachment":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/media?parent=11096"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/categories?post=11096"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/tags?post=11096"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}