{"id":1,"date":"2021-04-18T02:36:53","date_gmt":"2021-04-17T18:36:53","guid":{"rendered":"http:\/\/www.cshl-tech.cn\/site\/?p=1"},"modified":"2021-07-14T15:29:28","modified_gmt":"2021-07-14T07:29:28","slug":"how-quantum-computers-can-save-us-from-the-coronavirus","status":"publish","type":"post","link":"http:\/\/www.cshl-tech.com\/site\/?p=1","title":{"rendered":"How Quantum Computers Can Save Us From The Coronavirus"},"content":{"rendered":"<p>As Neural\u2019s own Thomas Macaulay recently pointed out in their\u00a0<a href=\"https:\/\/thenextweb.com\/neural\/2020\/05\/01\/drug-discovery-might-be-the-best-use-of-ai-to-tackle-the-pandemic\/\">article<\/a>, \u201cDrug discovery might be the best use of AI to tackle the pandemic,\u201d the use of algorithms to sift through near-infinite chemical combinations is a gamechanger. One startup, BenevolentAI, believes its system may have even discovered a potential treatment for COVID-19 (its currently in trials).<\/p>\r\n\r\n<p>&nbsp;<\/p>\r\n\r\n<p>But what if that treatment doesn\u2019t pan out? How long before the machines find the next potential cure? What we need is a method by which we can more quickly discover chemical combinations that could work as treatments.<\/p>\r\n\r\n<p>&nbsp;<\/p>\r\n\r\n<p>Enter the Penn State research team led by engineer Swaroop Ghosh.<\/p>\r\n\r\n<p>&nbsp;<\/p>\r\n\r\n<p>Ghosh\u2019s team hopes to significantly speed up the process of finding a cure or treatment for COVID-19 by addressing a root problem with classic algorithms for drug discovery, a lack of data. Ghosh\u00a0<a href=\"https:\/\/news.engr.psu.edu\/2020\/ghosh-swaroop-quantum-computing-covid-19-treatment.aspx\" target=\"_blank\" rel=\"noreferrer noopener\">told<\/a>\u00a0Penn State\u2019s Sarah Small:<\/p>\r\n\r\n<p>&nbsp;<\/p>\r\n\r\n<blockquote class=\"wp-block-quote\">\r\n<p>High-performance computing such as supercomputers and artificial intelligence can help accelerate this process by screening billions of chemical compounds quickly to find relevant drug candidates. This approach works when enough chemical compounds are available in the pipeline, but unfortunately this is not true for COVID-19. This project will explore quantum machine learning to unlock new capabilities in drug discovery by generating complex compounds quickly.<\/p>\r\n<\/blockquote>\r\n\r\n<p>&nbsp;<\/p>\r\n\r\n<p>Ghosh is working with several electrical engineering and computer science students to work on optimizing a quantum AI system. This work is exploratory, meaning there\u2019s no guarantee anything useful will come out of it. But despite the fact that quantum computing is in its infancy, there\u2019s hope.<\/p>\r\n\r\n<p>&nbsp;<\/p>\r\n\r\n<p>One of the most-mentioned use cases for quantum machine learning algorithms is this sort of discovery. Quantum computers excel at these problems because they aren\u2019t constrained by classic binary computation limitations. With quantum computers, researchers can find more avenues to discovery in a shorter period of time using less data.<\/p>\r\n\r\n<p>&nbsp;<\/p>\r\n\r\n<p>For more information, check out Ghosh\u2019s work\u00a0<a href=\"https:\/\/www.eecs.psu.edu\/departments\/directory-detail-g.aspx?q=szg212\" target=\"_blank\" rel=\"noreferrer noopener\">here<\/a>.<\/p>\r\n\r\n<p>&nbsp;<\/p>\r\n\r\n<p>&nbsp;<\/p>","protected":false},"excerpt":{"rendered":"<p>As Neural\u2019s own Thomas Macaulay recently pointed out in their\u00a0article, \u201cDrug discovery might be the best use of AI to tackle the pandemic,\u201d the use of algorithms to sift through near-infinite chemical combinations is a gamechanger. One startup, BenevolentAI, believes its system may have even discovered a potential treatment for COVID-19 (its currently in trials). &nbsp; But what if that treatment doesn\u2019t pan out? How long before the machines find the next potential cure? What we need is a method by which we can more quickly discover chemical combinations that could work as treatments. &nbsp; Enter the Penn State research&#8230; <\/p>\n","protected":false},"author":1,"featured_media":8,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[1],"tags":[26,25],"_links":{"self":[{"href":"http:\/\/www.cshl-tech.com\/site\/index.php?rest_route=\/wp\/v2\/posts\/1"}],"collection":[{"href":"http:\/\/www.cshl-tech.com\/site\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/www.cshl-tech.com\/site\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/www.cshl-tech.com\/site\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/www.cshl-tech.com\/site\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1"}],"version-history":[{"count":8,"href":"http:\/\/www.cshl-tech.com\/site\/index.php?rest_route=\/wp\/v2\/posts\/1\/revisions"}],"predecessor-version":[{"id":187,"href":"http:\/\/www.cshl-tech.com\/site\/index.php?rest_route=\/wp\/v2\/posts\/1\/revisions\/187"}],"wp:featuredmedia":[{"embeddable":true,"href":"http:\/\/www.cshl-tech.com\/site\/index.php?rest_route=\/wp\/v2\/media\/8"}],"wp:attachment":[{"href":"http:\/\/www.cshl-tech.com\/site\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/www.cshl-tech.com\/site\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=1"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/www.cshl-tech.com\/site\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=1"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}