{"id":52804,"date":"2025-04-26T18:47:11","date_gmt":"2025-04-26T18:47:11","guid":{"rendered":"https:\/\/www.europesays.com\/uk\/52804\/"},"modified":"2025-04-26T18:47:11","modified_gmt":"2025-04-26T18:47:11","slug":"keio-university-mitsubishi-chemical-push-toward-practical-quantum-reservoir-computing","status":"publish","type":"post","link":"https:\/\/www.europesays.com\/uk\/52804\/","title":{"rendered":"Keio University, Mitsubishi Chemical Push Toward Practical Quantum Reservoir Computing"},"content":{"rendered":"<p><strong>Insider Brief<\/strong><\/p>\n<ul class=\"wp-block-list\">\n<li>IBM, Keio University, and Mitsubishi Chemical advanced quantum reservoir computing by using quantum processors to improve machine learning predictions in an experiment.<\/li>\n<li>The researchers developed a \u201crepeated measurements\u201d method that reduced execution time and increased accuracy compared to traditional quantum reservoir computing techniques.<\/li>\n<li>The work highlights how IBM\u2019s Quantum Innovation Centers foster industry-academic collaborations to accelerate practical quantum computing applications.<\/li>\n<\/ul>\n<p>IBM and Keio University researchers have taken a critical step in advancing quantum reservoir computing, potentially speeding up complex machine learning tasks crucial for industries ranging from robotics to financial modeling.<\/p>\n<p>The partnership, which includes Mitsubishi Chemical, aims to leverage quantum computers to improve reservoir computing \u2014 a machine learning approach that simplifies training compared to traditional methods such as neural networks. The team\u2019s 2023<a href=\"https:\/\/arxiv.org\/abs\/2310.06706\" target=\"_blank\" rel=\"noopener\"> experiment<\/a>, detailed in <a href=\"https:\/\/www.ibm.com\/quantum\/blog\/keio-university-mitsubishi-chemical\" target=\"_blank\" rel=\"noopener\">IBM\u2019s Quantum Research Blog<\/a>, represents a significant step toward practical quantum computing applications.<\/p>\n<p>In reservoir computing, Reservoir input data are processed through a dynamic system, or \u201creservoir,\u201d to uncover patterns that can be analyzed with simple models like linear regression. Scientists are eager to explore the technique because it reduces the heavy training demands typical of traditional neural networks.<\/p>\n<p><a href=\"https:\/\/thequantuminsider.com\/data\/\" onclick=\"_gs(&#039;event&#039;, &#039;DATA IN CONTENT NEW&#039;)\" class=\"responsive-image\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"data:image\/svg+xml,%3Csvg%20xmlns=\" http:=\"\" alt=\"Responsive Image\" data-lazy-src=\"https:\/\/www.europesays.com\/uk\/wp-content\/uploads\/2025\/04\/Banners_Quantum-800-x-80-px-Option-1b.gif\"\/><\/a><\/p>\n<p>In reservoir computing, input data are processed through a dynamic system, or \u201creservoir,\u201d to uncover patterns that can be analyzed with simple models like linear regression. Scientists are eager to explore the technique because it reduces the heavy training demands typical of traditional neural networks. Quantum reservoir computing applies the same idea but uses quantum processors as the reservoir and, because quantum computers can theoretically handle large, intricate data more efficiently, this potentially offers even greater speed and efficiency. <\/p>\n<p>\u201cQuantum computers are naturally well-suited to high-dimensional data processing, and may ultimately prove more computationally powerful than classical reservoirs,\u201d the IBM team writes in the post.<\/p>\n<p>Predicting Robot Movements<\/p>\n<p> IBM\u2019s collaboration with <a href=\"https:\/\/www.keio.ac.jp\/en\/\" target=\"_blank\" rel=\"noopener\">Keio University<\/a>, a private research university located in Tokyo, and <a href=\"https:\/\/www.mcgc.com\/english\/\" target=\"_blank\" rel=\"noopener\">Mitsubishi Chemical<\/a>, also based in Tokyo, demonstrated the advantage of quantum reservoir computing by predicting movements of a \u201csoft robot,\u201d a flexible machine powered by air pressure.<\/p>\n<p>The Keio University-led team converted robotic movement data into quantum states, processed these states through IBM\u2019s quantum processors, and utilized linear regression on the output. This innovative approach, termed \u201crepeated measurements,\u201d involved additional qubits to streamline data collection. Instead of repeatedly resetting and running the quantum circuits for each data point, the researchers simultaneously measured additional qubits, significantly reducing execution time and boosting accuracy.<\/p>\n<p>Their tests, conducted on IBM Quantum processors with up to 120 qubits, demonstrated measurable improvements, according to the post. The repeated measurement technique notably outperformed traditional methods, offering faster and more precise results. IBM noted these findings could soon surpass classical computational capabilities, marking a milestone in quantum computing\u2019s practical applications.<\/p>\n<p>Challenges Remain<\/p>\n<p>Despite promising initial results, IBM emphasized that significant work remains before quantum reservoir computing routinely tackles real-world challenges. The researchers anticipate future exploration into applications beyond robotics, including financial risk modeling \u2014 a complex, non-linear problem ideal for quantum computing solutions.<\/p>\n<p>The authors write: \u201cMuch more work will be needed in the field of RC and QRC before these methods are able to yield useful results to practical problems. However, the researchers say that, even today, their utility-scale experiments may already be beyond classical simulation methods.\u201d <\/p>\n<p>Future research directions might include the exploration of quantum reservoir computing for hard nonlinear problems, such as financial risk modeling.<\/p>\n<p>IBM\u2019s Quantum Innovation Centers (QICs), like Keio University\u2019s, are instrumental in progressing such cutting-edge research. Since Keio became one of the initial IBM Quantum Hubs in 2017, over 40 such centers have emerged globally. These hubs connect academic expertise with industry needs, fostering a dynamic international quantum computing community.<\/p>\n","protected":false},"excerpt":{"rendered":"Insider Brief IBM, Keio University, and Mitsubishi Chemical advanced quantum reservoir computing by using quantum processors to improve&hellip;\n","protected":false},"author":2,"featured_media":52805,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3164],"tags":[3284,3772,28267,28268,53,16,15],"class_list":{"0":"post-52804","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-computing","8":"tag-computing","9":"tag-ibm","10":"tag-keio-university","11":"tag-mitsubishi-chemical-group","12":"tag-technology","13":"tag-uk","14":"tag-united-kingdom"},"share_on_mastodon":{"url":"https:\/\/pubeurope.com\/@uk\/114405759313383617","error":""},"_links":{"self":[{"href":"https:\/\/www.europesays.com\/uk\/wp-json\/wp\/v2\/posts\/52804","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.europesays.com\/uk\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.europesays.com\/uk\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/uk\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/uk\/wp-json\/wp\/v2\/comments?post=52804"}],"version-history":[{"count":0,"href":"https:\/\/www.europesays.com\/uk\/wp-json\/wp\/v2\/posts\/52804\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/uk\/wp-json\/wp\/v2\/media\/52805"}],"wp:attachment":[{"href":"https:\/\/www.europesays.com\/uk\/wp-json\/wp\/v2\/media?parent=52804"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.europesays.com\/uk\/wp-json\/wp\/v2\/categories?post=52804"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.europesays.com\/uk\/wp-json\/wp\/v2\/tags?post=52804"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}