{"id":422977,"date":"2026-01-19T09:44:12","date_gmt":"2026-01-19T09:44:12","guid":{"rendered":"https:\/\/www.newsbeep.com\/au\/422977\/"},"modified":"2026-01-19T09:44:12","modified_gmt":"2026-01-19T09:44:12","slug":"russian-scientists-show-a-proof-of-concept-for-using-quantum-annealers-to-solve-robot-motion-problems","status":"publish","type":"post","link":"https:\/\/www.newsbeep.com\/au\/422977\/","title":{"rendered":"Russian Scientists Show a Proof of Concept For Using Quantum Annealers to Solve Robot Motion Problems"},"content":{"rendered":"<p>Insider Brief<\/p>\n<p>A collaboration led by Q Deep, Innopolis University, the Moscow Institute of Physics &amp; Technology, Central University in Moscow and the Artificial Intelligence Research Institute (AIRI) demonstrated that quantum annealing can solve a robotics inverse-kinematics problem as a proof of concept.<\/p>\n<p>The study reformulated inverse kinematics as a binary optimization problem and solved it on D-Wave hardware, finding that Zephyr-based global embeddings and hybrid quantum\u2013classical solvers reduced qubit use and delivered up to 30\u00d7 faster results on large instances.<\/p>\n<p>While the approach does not outperform advanced classical solvers, the results show current quantum hardware can address simplified robotic motion planning tasks with measurable accuracy and speed.<\/p>\n<p>PRESS RELEASE \u2014 Q Deep, Innopolis University, the Moscow Institute of Physics &amp; Technology, Central University in Moscow and the Artificial Intelligence Research Institute (AIRI) have joined to explore how quantum computers can help robots move. <\/p>\n<p>Their paper, released 31 December 2025 in <a href=\"https:\/\/www.nature.com\/articles\/s41598-025-34346-z\" rel=\"nofollow noopener\" target=\"_blank\">Scientific Reports<\/a>, reframes the robot \u201cinverse kinematics\u201d problem\u2014finding the exact joint angles to reach a target position\u2014as a Quadratic Unconstrained Binary Optimization (QUBO) and solves it on D\u2010Wave\u2019s quantum annealing hardware.<\/p>\n<p>In the study, joint angles are discretized into binary variables, with one\u2010hot constraints enforcing a single choice per joint. This converts the continuous inverse\u2010kinematics objective into a binary QUBO that can be embedded on D\u2010Wave\u2019s Pegasus and Zephyr chip topologies and decoded back into valid joint angles. <\/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.newsbeep.com\/au\/wp-content\/uploads\/2025\/10\/Website-Banner-Quantum-2.gif\" alt=\"Responsive Image\"\/><\/a><\/p>\n<p>The team compared embedding strategies and solvers; global embedding on the Zephyr topology used the fewest qubits and achieved the fastest access times, while a hybrid quantum\u2013classical solver delivered up to 30\u2010fold faster solutions on large QUBO instances compared with purely classical approaches.<\/p>\n<p>The researchers caution that their work is a proof of concept\u2014it doesn\u2019t beat state\u2010of\u2010the\u2010art continuous solvers\u2014but it shows that quantum hardware from companies like D\u2010Wave can tackle a small robotics problem with measurable accuracy and speed. <\/p>\n<p>With support from Q Deep and major Russian institutes, the project lays groundwork for future collaborations<br \/>between quantum computing and robotic motion planning.<\/p>\n","protected":false},"excerpt":{"rendered":"Insider Brief A collaboration led by Q Deep, Innopolis University, the Moscow Institute of Physics &amp; Technology, Central&hellip;\n","protected":false},"author":2,"featured_media":422978,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6],"tags":[64,63,222464,300,17895,2016,137071,105],"class_list":["post-422977","post","type-post","status-publish","format-standard","has-post-thumbnail","category-technology","tag-au","tag-australia","tag-q-deep","tag-robotics","tag-robots","tag-russia","tag-scientific-reports","tag-technology"],"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/posts\/422977","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/comments?post=422977"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/posts\/422977\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/media\/422978"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/media?parent=422977"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/categories?post=422977"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/tags?post=422977"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}