{"id":225649,"date":"2025-12-10T14:02:11","date_gmt":"2025-12-10T14:02:11","guid":{"rendered":"https:\/\/www.europesays.com\/ie\/225649\/"},"modified":"2025-12-10T14:02:11","modified_gmt":"2025-12-10T14:02:11","slug":"qubit-pharmaceuticals-and-sorbonne-university-show-quantum-computers-can-outperform-classical-limits","status":"publish","type":"post","link":"https:\/\/www.europesays.com\/ie\/225649\/","title":{"rendered":"Qubit Pharmaceuticals and Sorbonne University Show Quantum Computers Can Outperform Classical Limits"},"content":{"rendered":"<p><strong>Insider Brief<\/strong><\/p>\n<ul class=\"wp-block-list\">\n<li>Qubit Pharmaceuticals and Sorbonne University demonstrated that quantum computers can outperform classical machines for non-reversible Markov chains, overturning a long-standing theoretical speed limit on quantum advantage.<\/li>\n<li>The study shows that quantum algorithms can achieve greater-than-quadratic, and in some cases up-to-exponential, speedups for one-way processes such as chemical reactions, protein folding, heat flow, and financial dynamics.<\/li>\n<li>The results extend quantum acceleration from idealized reversible systems to real-world irreversible systems, with potential impacts on drug discovery, materials science, and risk modeling.<\/li>\n<\/ul>\n<p>PRESS RELEASE \u2014 Qubit Pharmaceuticals, in collaboration with Sorbonne University, has demonstrated that quantum computers can perform certain calculations faster than scientists believed physically possible. The discovery overturns one of the\u00a0field\u2019s\u00a0longest-standing theoretical limits and redefines what quantum advantage means.<\/p>\n<p>Their study, published in Nature Communications, shows that quantum machines can surpass classical computers when dealing with non-reversible Markov chains. These are systems that describe processes moving in one direction, such as chemical reactions, protein folding, or heat flow. The development extends the previously known quadratic speedup to cases where even greater, up-to-exponential gains are possible, unlocking new potential in<\/p>\n<p>fields from drug discovery and materials science to finance and risk modeling.<\/p>\n<p><a href=\"https:\/\/thequantuminsider.com\/data\/\" onclick=\"_gs(&#039;event&#039;, &#039;DATA IN CONTENT NEW&#039;)\" class=\"responsive-image\" rel=\"nofollow noopener\" target=\"_blank\"><img decoding=\"async\" src=\"https:\/\/www.europesays.com\/ie\/wp-content\/uploads\/2025\/10\/Website-Banner-Quantum-2.gif\" alt=\"Responsive Image\"\/><\/a><\/p>\n<p>\u201cQuantum computers were expected to provide a quadratic speedup in the reversible setting,\u201d said Baptiste Claudon, lead author and part of Qubit Pharmaceuticals\u2019 research team. \u201cBy\u00a0studying\u00a0real-world systems, we found that the quadratic ceiling could be broken.\u201d<\/p>\n<p><strong>Beyond the classical speed limit<\/strong><\/p>\n<p>In practice, a Markov chain is a sequence of possible events where the probability of the next step depends only on the current state, which is a cornerstone of modern statistical physics and machine learning. Until now, quantum algorithms could only handle reversible versions of these chains: clean, symmetric systems that can be mathematically \u201crewound.\u201d<\/p>\n<p>But the real world doesn\u2019t run backward. Molecules react, markets shift, and heat dissipates \u2014 processes that are non-reversible by nature. Modeling them accurately has been one of the hardest challenges in computational physics.<\/p>\n<p>This study shows, for the first time, that quantum algorithms can handle both reversible and non-reversible Markov chains, breaking through the\u00a0long-assumed\u00a0symmetry barrier.<\/p>\n<p>\u201cThis bridges a critical gap between quantum computing and the physical world,\u201d said\u00a0Professor Jean-Philip Piquemal, co-author and co-founder of Qubit Pharmaceuticals. \u201cMost\u00a0natural\u00a0and economic phenomena are irreversible \u2014 and now quantum algorithms can\u00a0finally\u00a0model\u00a0them directly, with a clear computational advantage.\u201d<\/p>\n<p><strong>A new quantum framework for irreversible systems<\/strong><\/p>\n<p>The paper introduces two new techniques that allow quantum computers to follow the natural direction of complex systems without having to \u201crewind\u201d time. In practical terms, this\u00a0means\u00a0quantum\u00a0computers can simulate chemical reactions or financial markets as they\u00a0actually\u00a0unfold, not as idealized two-way systems.Building on this, the authors lay out the first full framework for accelerating such one-way\u00a0systems\u00a0using quantum operations already proven in\u00a0today\u2019s\u00a0most advanced algorithms \u2014 a clear blueprint for applying the discovery to real-world simulations and data problems.<\/p>\n<p>In measurable terms, the approach could allow quantum computers to perform billions of classical iterations in just thousands, dramatically reducing the time required for large-scale simulations in drug design, materials discovery, and quantum-AI-based optimization.<\/p>\n<p>\u201cThis work lets quantum computers speak the same language as the physical world,\u201d said\u00a0Robert Marino, CEO and founder of Qubit Pharmaceuticals. \u201cMost real processes only\u00a0move\u00a0forward\u00a0\u2014 and now quantum algorithms can follow that flow instead of fighting against it.\u201d<\/p>\n<p><strong>From theory to real-world impact<\/strong><\/p>\n<p>Where earlier quantum algorithms offered a quadratic advantage in reversible systems,\u00a0this\u00a0framework\u00a0generalizes that advantage to the non-reversible realm \u2014 suggesting that up-to-exponential speedups may occur in certain cases. These results are expected to influence how statistical physics methods are implemented across disciplines, while opening the door to a new class of quantum applications.<\/p>\n<p>For Qubit Pharmaceuticals, the discovery also strengthens the company\u2019s proprietary simulation platform, which integrates quantum algorithms into practical molecular and materials modeling workflows. By bridging advanced research and applied computation,\u00a0Qubit\u00a0is\u00a0positioning itself among Europe\u2019s leading companies translating theoretical breakthroughs into commercial quantum advantage.<\/p>\n<p>The work highlights the strength of Europe\u2019s quantum ecosystem, combining expertise from Sorbonne Universit\u00e9, CNRS, and Qubit Pharmaceuticals, and supported by the European Research Council (ERC) and France\u2019s PEPR EPIQ \u2013 Quantum Software and HQI programs \u2014 initiatives that position Europe at the forefront of quantum software and algorithm\u00a0development.\u00a0<\/p>\n<p>\u201cThis result shows how academic research and private deep-tech efforts can jointly advance the\u00a0frontiers of quantum science,\u201d added Professor Piquemal. \u201cIt\u2019s a tangible step toward real\u00a0quantum advantage in chemistry, biology, and finance.\u201d<\/p>\n<p><strong>About the Publication<\/strong><\/p>\n<p>The paper \u201cQuantum Speedup for\u00a0Nonreversible\u00a0Markov Chains\u201d Communications in October 2025.<\/p>\n<p>LINK:\u00a0<a href=\"https:\/\/doi.org\/10.1038\/s41467-025-65761-5\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">https:\/\/doi.org\/10.1038\/s41467-025-65761-5<\/a>\u00a0was\u00a0published in Nature<\/p>\n","protected":false},"excerpt":{"rendered":"Insider Brief Qubit Pharmaceuticals and Sorbonne University demonstrated that quantum computers can outperform classical machines for non-reversible Markov&hellip;\n","protected":false},"author":2,"featured_media":225650,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[74],"tags":[18,19,17,42848,121224,93909,82],"class_list":{"0":"post-225649","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-technology","8":"tag-eire","9":"tag-ie","10":"tag-ireland","11":"tag-quantum-advantage","12":"tag-qubit-pharmaceuticals","13":"tag-sorbonne-university","14":"tag-technology"},"share_on_mastodon":{"url":"https:\/\/pubeurope.com\/@ie\/115695645494990021","error":""},"_links":{"self":[{"href":"https:\/\/www.europesays.com\/ie\/wp-json\/wp\/v2\/posts\/225649","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.europesays.com\/ie\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.europesays.com\/ie\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ie\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ie\/wp-json\/wp\/v2\/comments?post=225649"}],"version-history":[{"count":0,"href":"https:\/\/www.europesays.com\/ie\/wp-json\/wp\/v2\/posts\/225649\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ie\/wp-json\/wp\/v2\/media\/225650"}],"wp:attachment":[{"href":"https:\/\/www.europesays.com\/ie\/wp-json\/wp\/v2\/media?parent=225649"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.europesays.com\/ie\/wp-json\/wp\/v2\/categories?post=225649"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.europesays.com\/ie\/wp-json\/wp\/v2\/tags?post=225649"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}