{"id":22151,"date":"2025-03-04T16:17:42","date_gmt":"2025-03-04T15:17:42","guid":{"rendered":"https:\/\/sano.science\/?post_type=seminars&#038;p=22151"},"modified":"2025-03-26T11:50:23","modified_gmt":"2025-03-26T10:50:23","slug":"qommunity-on-the-use-of-quantum-technologies-in-network-neuroscience","status":"publish","type":"seminars","link":"https:\/\/sano.science\/seminars\/qommunity-on-the-use-of-quantum-technologies-in-network-neuroscience\/","title":{"rendered":"157. Qommunity &#8211; on the use of quantum technologies in network neuroscience"},"content":{"rendered":"\n<h2 class=\"wp-block-heading eplus-wrapper\" id=\"h-abstract\">Abstract:<\/h2>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<p class=\"eplus-wrapper wp-block-paragraph\">The c<em>ommunity detection<\/em>&nbsp;problem aims to find groups of nodes that are more connected to each other with respect to the rest of the network. However, it is an NP hard problem and requires heuristic rather than exact solutions. Quantum computing and in particular&nbsp;<em>quantum annealing<\/em>&nbsp;(QA) can theoretically locate the optimal community structure but evidence for this has been limited to purely academic scenarios. In this talk we will discuss how the problem can be formulated within a combinatorial optimization QUBO framework and addressed with D-Wave [1] solvers. We will discuss how to encode both binary and discrete variables in QA without relying on one-hot constraints (i.e., Lagrange multipliers). Then, we will present&nbsp;<em>Qommunity&nbsp;<\/em>[2], built on top of&nbsp;<em>QHyper&nbsp;<\/em>[3]<em>,&nbsp;<\/em>a library for solving optimization problems using quantum methods. Qommunity contains classical, quantum, and hybrid community detection methods. We will also show a newly developed hierarchical partitioning algorithm enabling recursive binary network partitioning and that extends the capabilities of D-Wave&#8217;s Advantage quantum solver for real use cases [4]. In summary, we provide a unified description and interface for the implementation of QA methods and the execution of experiments in a hands-on fashion.&nbsp;<\/p>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<h4 class=\"wp-block-heading eplus-wrapper\" id=\"h-references\"><strong>References<\/strong><\/h4>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<p class=\"eplus-wrapper wp-block-paragraph\">[1]&nbsp;https:\/\/docs.dwavesys.com\/docs\/latest\/<\/p>\n\n\n\n<p class=\"eplus-wrapper wp-block-paragraph\">[2] https:\/\/github.com\/kacper3615\/Qommunity<\/p>\n\n\n\n<p class=\"eplus-wrapper wp-block-paragraph\">[3]&nbsp;https:\/\/qhyper.readthedocs.io\/en\/latest\/<\/p>\n\n\n\n<p class=\"eplus-wrapper wp-block-paragraph\">[4]&nbsp;Joan Falc\u00f3-Roget, Kacper Jurek, Barbara Wojtarowicz, Karol Capa\u0142a,&nbsp;and&nbsp;Katarzyna Rycerz.&nbsp;<em>Modularity maximization and community detection in complex networks through recursive and hierarchical annealing in the D-Wave Advantage quantum processing units.<\/em>https:\/\/arxiv.org\/abs\/2410.07744<\/p>\n\n\n\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading eplus-wrapper\" id=\"h-about-the-authors\">About the authors:<\/h2>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<p class=\"eplus-wrapper wp-block-paragraph\"><strong>Barbara Wojtarowicz<\/strong> is currently pursuing an MSc in Computer Science&nbsp;at AGH University of Krak\u00f3w. She\u2019s interested in&nbsp;the&nbsp;application of quantum technologies to nature-based problems and&nbsp;in&nbsp;computational sciences.<\/p>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<p class=\"eplus-wrapper wp-block-paragraph\"><strong>Kacper Jurek<\/strong> is a master&#8217;s student in Computer Science at AGH University of Krakow. His academic and research interests span theoretical computer science, quantum computing, and modern machine learning methods.<\/p>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<p class=\"eplus-wrapper wp-block-paragraph\"><strong><a href=\"https:\/\/sano.science\/people\/joan-falco-roget\/\">Joan Falc\u00f3-Roget<\/a><\/strong> holds a Bachelor of Science in fundamental physics from the University of Barcelona and a Master of Science in physics of condensed matter and biological systems from the Autonomous University of Madrid. He researched computational theories of dopamine and animal behavior in Madrid before joining Sano as a PhD student. His current research is centered around neuroimaging studies and methods to study brain lesions and degenerative diseases.\u00a0<\/p>\n\n\n\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<figure class=\"wp-block-image size-large eplus-wrapper\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"536\" src=\"https:\/\/sano.science\/wp-content\/uploads\/2025\/03\/Qommunity-1024x536.webp\" alt=\"\" class=\"wp-image-22607\" srcset=\"https:\/\/sano.science\/wp-content\/uploads\/2025\/03\/Qommunity-1024x536.webp 1024w, https:\/\/sano.science\/wp-content\/uploads\/2025\/03\/Qommunity-300x157.webp 300w, https:\/\/sano.science\/wp-content\/uploads\/2025\/03\/Qommunity-768x402.webp 768w, https:\/\/sano.science\/wp-content\/uploads\/2025\/03\/Qommunity.webp 1200w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n","protected":false},"excerpt":{"rendered":"<p>Barbara Wojtarowicz, Kacper Jurek, Joan Falco Roget<\/p>\n","protected":false},"featured_media":0,"template":"","class_list":["post-22151","seminars","type-seminars","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.6 (Yoast SEO v27.6) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>157. Qommunity - on the use of quantum technologies in network neuroscience - 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\/seminars\/qommunity-on-the-use-of-quantum-technologies-in-network-neuroscience\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"157. 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Qommunity &#8211; on the use of quantum technologies in network neuroscience"}]},{"@type":"WebSite","@id":"https:\/\/sano.science\/#website","url":"https:\/\/sano.science\/","name":"Centre for Computational Personalized Medicine","description":"Sano \u2013 Centre for Computational Medicine","publisher":{"@id":"https:\/\/sano.science\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/sano.science\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Organization","@id":"https:\/\/sano.science\/#organization","name":"Sano \u2013 Centre for Computational Medicine","alternateName":"Sano","url":"https:\/\/sano.science\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/sano.science\/#\/schema\/logo\/image\/","url":"https:\/\/sano.science\/wp-content\/uploads\/2024\/05\/logo_sano_podstawowe.png","contentUrl":"https:\/\/sano.science\/wp-content\/uploads\/2024\/05\/logo_sano_podstawowe.png","width":700,"height":265,"caption":"Sano \u2013 Centre for Computational Medicine"},"image":{"@id":"https:\/\/sano.science\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/sano.science\/","https:\/\/x.com\/sanoscience","https:\/\/www.linkedin.com\/company\/sanoscience\/","https:\/\/www.youtube.com\/channel\/UCDZ_8TcjMWUG2ZcgKKgfpwQ","https:\/\/bsky.app\/profile\/sanoscience.bsky.social"]}]}},"acf":[],"gutenberg_blocks":[{"blockName":"custom-styles","attrs":{"styles":""}},{"blockName":"core\/heading","attrs":{"epAnimationGeneratedClass":"edplus_anim-zNmE9g","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<h2 class=\"wp-block-heading eplus-wrapper\" id=\"h-abstract\">Abstract:<\/h2>\n","innerContent":["\n<h2 class=\"wp-block-heading eplus-wrapper\" id=\"h-abstract\">Abstract:<\/h2>\n"]},{"blockName":"core\/spacer","attrs":{"height":"20px","epAnimationGeneratedClass":"edplus_anim-KRSYxg","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-TXVRKs","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">The c<em>ommunity detection<\/em>&nbsp;problem aims to find groups of nodes that are more connected to each other with respect to the rest of the network. However, it is an NP hard problem and requires heuristic rather than exact solutions. Quantum computing and in particular&nbsp;<em>quantum annealing<\/em>&nbsp;(QA) can theoretically locate the optimal community structure but evidence for this has been limited to purely academic scenarios. In this talk we will discuss how the problem can be formulated within a combinatorial optimization QUBO framework and addressed with D-Wave [1] solvers. We will discuss how to encode both binary and discrete variables in QA without relying on one-hot constraints (i.e., Lagrange multipliers). Then, we will present&nbsp;<em>Qommunity&nbsp;<\/em>[2], built on top of&nbsp;<em>QHyper&nbsp;<\/em>[3]<em>,&nbsp;<\/em>a library for solving optimization problems using quantum methods. Qommunity contains classical, quantum, and hybrid community detection methods. We will also show a newly developed hierarchical partitioning algorithm enabling recursive binary network partitioning and that extends the capabilities of D-Wave's Advantage quantum solver for real use cases [4]. In summary, we provide a unified description and interface for the implementation of QA methods and the execution of experiments in a hands-on fashion.&nbsp;<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">The c<em>ommunity detection<\/em>&nbsp;problem aims to find groups of nodes that are more connected to each other with respect to the rest of the network. However, it is an NP hard problem and requires heuristic rather than exact solutions. Quantum computing and in particular&nbsp;<em>quantum annealing<\/em>&nbsp;(QA) can theoretically locate the optimal community structure but evidence for this has been limited to purely academic scenarios. In this talk we will discuss how the problem can be formulated within a combinatorial optimization QUBO framework and addressed with D-Wave [1] solvers. We will discuss how to encode both binary and discrete variables in QA without relying on one-hot constraints (i.e., Lagrange multipliers). Then, we will present&nbsp;<em>Qommunity&nbsp;<\/em>[2], built on top of&nbsp;<em>QHyper&nbsp;<\/em>[3]<em>,&nbsp;<\/em>a library for solving optimization problems using quantum methods. Qommunity contains classical, quantum, and hybrid community detection methods. We will also show a newly developed hierarchical partitioning algorithm enabling recursive binary network partitioning and that extends the capabilities of D-Wave's Advantage quantum solver for real use cases [4]. In summary, we provide a unified description and interface for the implementation of QA methods and the execution of experiments in a hands-on fashion.&nbsp;<\/p>\n"]},{"blockName":"core\/spacer","attrs":{"height":"20px","epAnimationGeneratedClass":"edplus_anim-KRSYxg","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]},{"blockName":"core\/heading","attrs":{"level":4,"epAnimationGeneratedClass":"edplus_anim-dRrwA1","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<h4 class=\"wp-block-heading eplus-wrapper\" id=\"h-references\"><strong>References<\/strong><\/h4>\n","innerContent":["\n<h4 class=\"wp-block-heading eplus-wrapper\" id=\"h-references\"><strong>References<\/strong><\/h4>\n"]},{"blockName":"core\/spacer","attrs":{"height":"20px","epAnimationGeneratedClass":"edplus_anim-KRSYxg","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-lagqWB","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">[1]&nbsp;https:\/\/docs.dwavesys.com\/docs\/latest\/<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">[1]&nbsp;https:\/\/docs.dwavesys.com\/docs\/latest\/<\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-8zth1N","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">[2] https:\/\/github.com\/kacper3615\/Qommunity<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">[2] https:\/\/github.com\/kacper3615\/Qommunity<\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-bnbhI1","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">[3]&nbsp;https:\/\/qhyper.readthedocs.io\/en\/latest\/<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">[3]&nbsp;https:\/\/qhyper.readthedocs.io\/en\/latest\/<\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-TXVRKs","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">[4]&nbsp;Joan Falc\u00f3-Roget, Kacper Jurek, Barbara Wojtarowicz, Karol Capa\u0142a,&nbsp;and&nbsp;Katarzyna Rycerz.&nbsp;<em>Modularity maximization and community detection in complex networks through recursive and hierarchical annealing in the D-Wave Advantage quantum processing units.<\/em>https:\/\/arxiv.org\/abs\/2410.07744<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">[4]&nbsp;Joan Falc\u00f3-Roget, Kacper Jurek, Barbara Wojtarowicz, Karol Capa\u0142a,&nbsp;and&nbsp;Katarzyna Rycerz.&nbsp;<em>Modularity maximization and community detection in complex networks through recursive and hierarchical annealing in the D-Wave Advantage quantum processing units.<\/em>https:\/\/arxiv.org\/abs\/2410.07744<\/p>\n"]},{"blockName":"core\/spacer","attrs":{"height":"50px","epAnimationGeneratedClass":"edplus_anim-KRSYxg","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]},{"blockName":"core\/heading","attrs":{"epAnimationGeneratedClass":"edplus_anim-1NHSaS","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<h2 class=\"wp-block-heading eplus-wrapper\" id=\"h-about-the-authors\">About the authors:<\/h2>\n","innerContent":["\n<h2 class=\"wp-block-heading eplus-wrapper\" id=\"h-about-the-authors\">About the authors:<\/h2>\n"]},{"blockName":"core\/spacer","attrs":{"height":"20px","epAnimationGeneratedClass":"edplus_anim-KRSYxg","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-BXY4tJ","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\"><strong>Barbara Wojtarowicz<\/strong> is currently pursuing an MSc in Computer Science&nbsp;at AGH University of Krak\u00f3w. She\u2019s interested in&nbsp;the&nbsp;application of quantum technologies to nature-based problems and&nbsp;in&nbsp;computational sciences.<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\"><strong>Barbara Wojtarowicz<\/strong> is currently pursuing an MSc in Computer Science&nbsp;at AGH University of Krak\u00f3w. She\u2019s interested in&nbsp;the&nbsp;application of quantum technologies to nature-based problems and&nbsp;in&nbsp;computational sciences.<\/p>\n"]},{"blockName":"core\/spacer","attrs":{"height":"20px","epAnimationGeneratedClass":"edplus_anim-KRSYxg","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-vX6DPZ","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\"><strong>Kacper Jurek<\/strong> is a master's student in Computer Science at AGH University of Krakow. His academic and research interests span theoretical computer science, quantum computing, and modern machine learning methods.<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\"><strong>Kacper Jurek<\/strong> is a master's student in Computer Science at AGH University of Krakow. His academic and research interests span theoretical computer science, quantum computing, and modern machine learning methods.<\/p>\n"]},{"blockName":"core\/spacer","attrs":{"height":"20px","epAnimationGeneratedClass":"edplus_anim-KRSYxg","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-ixHJlL","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\"><strong><a href=\"https:\/\/sano.science\/people\/joan-falco-roget\/\">Joan Falc\u00f3-Roget<\/a><\/strong> holds a Bachelor of Science in fundamental physics from the University of Barcelona and a Master of Science in physics of condensed matter and biological systems from the Autonomous University of Madrid. He researched computational theories of dopamine and animal behavior in Madrid before joining Sano as a PhD student. His current research is centered around neuroimaging studies and methods to study brain lesions and degenerative diseases.\u00a0<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\"><strong><a href=\"https:\/\/sano.science\/people\/joan-falco-roget\/\">Joan Falc\u00f3-Roget<\/a><\/strong> holds a Bachelor of Science in fundamental physics from the University of Barcelona and a Master of Science in physics of condensed matter and biological systems from the Autonomous University of Madrid. He researched computational theories of dopamine and animal behavior in Madrid before joining Sano as a PhD student. His current research is centered around neuroimaging studies and methods to study brain lesions and degenerative diseases.\u00a0<\/p>\n"]},{"blockName":"core\/spacer","attrs":{"height":"50px","epAnimationGeneratedClass":"edplus_anim-KRSYxg","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]},{"blockName":"core\/image","attrs":{"id":22607,"sizeSlug":"large","linkDestination":"none","epAnimationGeneratedClass":"edplus_anim-OgDfdJ","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<figure class=\"wp-block-image size-large eplus-wrapper\"><img src=\"https:\/\/sano.science\/wp-content\/uploads\/2025\/03\/Qommunity-1024x536.webp\" alt=\"\" class=\"wp-image-22607\"\/><\/figure>\n","innerContent":["\n<figure class=\"wp-block-image size-large 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