{"id":83834,"date":"2025-08-15T04:00:16","date_gmt":"2025-08-15T04:00:16","guid":{"rendered":"https:\/\/www.newsbeep.com\/us\/83834\/"},"modified":"2025-08-15T04:00:16","modified_gmt":"2025-08-15T04:00:16","slug":"amazon-braket-launches-program-sets-to-accelerate-quantum-algorithm-execution","status":"publish","type":"post","link":"https:\/\/www.newsbeep.com\/us\/83834\/","title":{"rendered":"Amazon Braket Launches Program Sets to Accelerate Quantum Algorithm Execution"},"content":{"rendered":"<p><img fetchpriority=\"high\" decoding=\"async\" width=\"422\" height=\"253\" src=\"https:\/\/www.newsbeep.com\/us\/wp-content\/uploads\/2025\/08\/image-59.png\" alt=\"\" class=\"wp-image-36264\" style=\"width:722px;height:auto\"  \/><\/p>\n<p><a href=\"https:\/\/aws.amazon.com\/braket\/\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">Amazon Braket<\/a> has launched a new feature called \u201cprogram sets\u201d to improve quantum workload efficiency. The feature allows customers to bundle up to 100 quantum circuits into a single quantum task, which reduces processing overhead and the time between circuit executions. This new capability is intended to accelerate the execution of quantum circuit executions, with a reported speedup of up to 24x on supported devices.<\/p>\n<p>Program sets are designed to address delays between individual circuit submissions that can add to experimental run times and increase sensitivity to device drift. The feature is particularly relevant for algorithms that require running the same parametrized circuit with different measurement bases or parameter values, such as variational quantum eigensolvers (VQE) and quantum machine learning models. For on-demand workloads, program sets reduce costs by charging a single per-task fee for the entire bundle, instead of a separate fee for each circuit.<\/p>\n<p>Amazon Braket program sets are currently available on all superconducting QPUs from <a href=\"https:\/\/www.rigetti.com\/\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">Rigetti<\/a> (in the US West Region) and <a href=\"https:\/\/meetiqm.com\/\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">IQM<\/a> (in the Europe Region). This feature is positioned as valuable for applications such as molecular simulation and quantum machine learning. The reduction in execution time and processing overhead aims to facilitate algorithm development and lead to more consistent results, supporting quantum computing research.<\/p>\n<p>Read more about this launch on the AWS Quantum Technologies Blog <a href=\"https:\/\/aws.amazon.com\/blogs\/quantum-computing\/amazon-braket-introduces-program-sets-enabling-customers-to-run-quantum-programs-up-to-24x-faster\/\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">here<\/a>. To learn more, access the Amazon Braket Developer Guide <a href=\"https:\/\/docs.aws.amazon.com\/braket\/latest\/developerguide\/braket-constructing-circuit.html#braket-program-set\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">here<\/a>, explore example notebooks on GitHub <a href=\"https:\/\/github.com\/amazon-braket\/amazon-braket-examples\/tree\/main\/examples\/braket_features\/program_sets\/\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">here<\/a>, and see the updated Amazon Braket Management Console <a href=\"https:\/\/console.aws.amazon.com\/braket\/\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">here<\/a>.<\/p>\n<p class=\"has-small-font-size\">August 14, 2025<\/p>\n<p>                    <a href=\"#\" rel=\"nofollow\" onclick=\"window.print(); return false;\" title=\"Printer Friendly, PDF &amp; Email\"><br \/>\n                    <img decoding=\"async\" class=\"pf-button-img\" src=\"https:\/\/www.newsbeep.com\/us\/wp-content\/uploads\/2025\/08\/printfriendly-pdf-button.png\" alt=\"Print Friendly, PDF &amp; Email\" style=\"width: 112px;height: 24px;\"\/><br \/>\n                    <\/a><\/p>\n","protected":false},"excerpt":{"rendered":"Amazon Braket has launched a new feature called \u201cprogram sets\u201d to improve quantum workload efficiency. The feature allows&hellip;\n","protected":false},"author":2,"featured_media":83835,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[46],"tags":[191,74],"class_list":{"0":"post-83834","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-computing","8":"tag-computing","9":"tag-technology"},"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/posts\/83834","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/comments?post=83834"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/posts\/83834\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/media\/83835"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/media?parent=83834"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/categories?post=83834"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/tags?post=83834"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}