{"id":2303,"date":"2026-07-13T04:00:00","date_gmt":"2026-07-13T04:00:00","guid":{"rendered":"https:\/\/futurenews24.com\/index.php\/2026\/07\/13\/2508-20134\/"},"modified":"2026-07-14T02:59:11","modified_gmt":"2026-07-14T02:59:11","slug":"2508-20134","status":"publish","type":"post","link":"https:\/\/futurenews24.com\/index.php\/2026\/07\/13\/2508-20134\/","title":{"rendered":"[2508.20134] QAgent: An LLM-based Multi-Agent System for Autonomous OpenQASM programming"},"content":{"rendered":"<p><br \/>\n<\/p>\n<div id=\"content-inner\">\n<div id=\"abs\">\n<div class=\"dateline\">\n  [Submitted on 26 Aug 2025 (v1), last revised 9 Jul 2026 (this version, v2)]<\/div>\n<p>View a PDF of the paper titled QAgent: An LLM-based Multi-Agent System for Autonomous OpenQASM programming, by Zhenxiao Fu and 4 different authors<\/p>\n<p>    View PDF<br \/>\n    HTML (experimental)<\/p>\n<blockquote class=\"abstract mathjax\"><p>\n            <span class=\"descriptor\">Summary:<\/span>Programming quantum circuits on the OpenQASM degree is crucial for attaining hardware-aware optimization and dependable execution on noisy intermediate-scale quantum (NISQ) gadgets, but it stays difficult as a result of want for domain-specific planning, iterative code synthesis, and low-level calibration. On this paper, we current QAgent, the primary autonomous multi-agent framework for end-to-end OpenQASM code technology. QAgent integrates schema-aware process planning, example- and tool-driven code synthesis, and hardware-aware calibration inside a unified planning-synthesis-calibration workflow. The system leverages retrieval-augmented technology (RAG) to entry structured kernel information, examples, and backend constraints, and employs coordinated multi-agent reasoning with iterative execution suggestions to make sure correctness. We consider QAgent on 12 consultant quantum kernels and their compositions throughout 5 giant language fashions (LLMs). Outcomes present that QAgent improves Move@1 accuracy by 47-70% on single-kernel duties and achieves over 88% accuracy on multi-kernel workflows for giant fashions, considerably outperforming present baselines. Moreover, underneath lifelike {hardware} frequency drift, QAgent maintains near-unit execution constancy by means of automated calibration, whereas SDK-based LLM strategies endure vital degradation. These outcomes exhibit that integrating planning, synthesis, and calibration is crucial for dependable quantum program technology. The implementation of QAgent is open-sourced at this https URL\n    <\/p><\/blockquote><\/div>\n<\/div>\n<div>\n<h2>Submission historical past<\/h2>\n<p> From: Zhenxiao Fu [view email]                  [v1]<br \/>\n        Tue, 26 Aug 2025 18:40:02 UTC (2,296 KB)<br \/>\n    [v2]<br \/>\n        Thu, 9 Jul 2026 23:35:41 UTC (517 KB)\n<\/p><\/div>\n<p><br \/>\n<br \/><a href=\"https:\/\/arxiv.org\/abs\/2508.20134\">Source link <\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>[Submitted on 26 Aug 2025 (v1), last revised 9 Jul 2026 (this version, v2)] View a PDF of the paper titled QAgent: An LLM-based Multi-Agent System for Autonomous OpenQASM programming, by Zhenxiao Fu and 4 different authors View PDF HTML (experimental) Summary:Programming quantum circuits on the OpenQASM degree is crucial for attaining hardware-aware optimization and [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":2305,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"fifu_image_url":"http:\/\/arxiv.org\/static\/browse\/0.3.4\/images\/arxiv-logo-fb.png","fifu_image_alt":"","jnews-multi-image_gallery":[],"jnews_single_post":[],"jnews_primary_category":[],"jnews_override_bookmark_settings":[],"jnews_social_meta":[],"jnews_override_counter":[],"footnotes":""},"categories":[2],"tags":[291,2814,1856,2815,2816,2813,270],"class_list":["post-2303","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-research-breakthroughs","tag-autonomous","tag-llmbased","tag-multiagent","tag-openqasm","tag-programming","tag-qagent","tag-system"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.7 - 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