{"id":6782,"date":"2011-12-31T14:32:05","date_gmt":"2011-12-31T12:32:05","guid":{"rendered":"http:\/\/hgpu.org\/?p=6782"},"modified":"2011-12-31T14:32:05","modified_gmt":"2011-12-31T12:32:05","slug":"boosting-quantum-evolutions-using-trotter-suzuki-algorithms-on-gpus","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=6782","title":{"rendered":"Boosting quantum evolutions using Trotter-Suzuki algorithms on GPUs"},"content":{"rendered":"<p>The evolution calculation of quantum systems represents a great challenge nowadays. Numerical implementations typically scale exponentially with the size of the system, demanding high amounts of resources. General Purpose Graphics Processor Units (GPGPUs) enable a new range of possibilities for numerical simulations of quantum systems. In this work we implemented, optimized and compared the quantum Trotter-Suzuki algorithm running on both CPUs and GPUs.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The evolution calculation of quantum systems represents a great challenge nowadays. Numerical implementations typically scale exponentially with the size of the system, demanding high amounts of resources. General Purpose Graphics Processor Units (GPGPUs) enable a new range of possibilities for numerical simulations of quantum systems. In this work we implemented, optimized and compared the quantum [&hellip;]<\/p>\n","protected":false},"author":351,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":false,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[36,11,89,3,12],"tags":[1787,1782,14,285,20,1783,1006],"class_list":["post-6782","post","type-post","status-publish","format-standard","hentry","category-algorithms","category-computer-science","category-nvidia-cuda","category-paper","category-physics","tag-algorithms","tag-computer-science","tag-cuda","tag-numerical-simulation","tag-nvidia","tag-physics","tag-tesla-c2070"],"views":2146,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/6782","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/users\/351"}],"replies":[{"embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=6782"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/6782\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=6782"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=6782"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=6782"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}