{"id":982627,"date":"2026-07-20T02:03:10","date_gmt":"2026-07-20T06:03:10","guid":{"rendered":"https:\/\/www.marketnewsdesk.com\/index.php\/iqm-and-deutsche-bahn-demonstrate-quantum-algorithm-for-railway-scheduling-on-real-operational-data\/"},"modified":"2026-07-20T02:03:10","modified_gmt":"2026-07-20T06:03:10","slug":"iqm-and-deutsche-bahn-demonstrate-quantum-algorithm-for-railway-scheduling-on-real-operational-data","status":"publish","type":"post","link":"https:\/\/www.marketnewsdesk.com\/index.php\/iqm-and-deutsche-bahn-demonstrate-quantum-algorithm-for-railway-scheduling-on-real-operational-data\/","title":{"rendered":"IQM and Deutsche Bahn Demonstrate Quantum Algorithm for Railway Scheduling on Real Operational Data"},"content":{"rendered":"<p>        <!--.bwalignc { text-align: center; list-style-position: inside }\n.bwlistdisc { list-style-type: disc }body {font:normal small Arial,Helvetica,sans-serif;color:#000;background-color:#fff;padding:24px;margin:0;} a img {border:0;} h3 {font-size:medium;color:#000;margin:0 0 1em 0; text-align:center;}-->  <\/p>\n<p class=\"bwalignc\"><b>IQM and Deutsche Bahn Demonstrate Quantum Algorithm for Railway Scheduling on Real Operational Data<\/b><\/p>\n<ul class=\"bwlistdisc\">\n<li>\nA hybrid quantum-classical algorithm, executed end to end on IQM hardware, produced feasible schedules with Deutsche Bahn, the German rail operator, using a real operational dataset of 190 trips across five German cities.<\/p>\n<\/li>\n<li>\nThe approach runs on today\u2019s hardware and is designed to improve automatically as quantum processors scale, offering enterprises a model for extracting value now, ahead of fault-tolerant computing.<\/p>\n<\/li>\n<li>\nThe collaboration reflects IQM\u2019s push into enterprise adoption. The company has sold 24 quantum computers worldwide and listed on the Nasdaq Global Select Market and Nasdaq Helsinki in July 2026 under the ticker IQMX.<\/p>\n<\/li>\n<\/ul>\n<p>MUNICH&#8211;(<a href=\"http:\/\/www.businesswire.com\">BUSINESS WIRE<\/a>)&#8211;<b>IQM Quantum Computers (Nasdaq: IQMX)<\/b>, a global leader in full-stack superconducting quantum computers, today published the results of a research collaboration with Deutsche Bahn, Europe\u2019s largest rail operator, exploring how quantum computing can improve railway scheduling.<\/p>\n<p id=\"news-body-cta\">This press release features multimedia. View the full release here: <a href=\"https:\/\/www.businesswire.com\/news\/home\/20260719172592\/en\/\" rel=\"nofollow\">https:\/\/www.businesswire.com\/news\/home\/20260719172592\/en\/<\/a><\/p>\n<div id=\"bwbodyimg\" style=\"width: 480px;float:left;padding-left:0px;padding-right:20px;padding-top:0px;padding-bottom:0px\"><img decoding=\"async\" src=\"https:\/\/mms.businesswire.com\/media\/20260719172592\/en\/2854322\/4\/IQM-DB-WP-PR.jpg\" alt=\"IQM&apos;s whitepaper on hybrid quantum optimization for railway scheduling, developed with Deutsche Bahn.\" \/><\/p>\n<p style=\"font-size:85%\">IQM&#8217;s whitepaper on hybrid quantum optimization for railway scheduling, developed with Deutsche Bahn.<\/p>\n<\/div>\n<p>\nUsing a real operational dataset from Deutsche Bahn, a schedule of 190 trips across five German cities translating into roughly 98,500 possible cycles, the two organizations developed and tested a hybrid quantum-classical algorithm designed for enterprise-scale optimization problems.<\/p>\n<p>\nAs detailed in a published whitepaper <a rel=\"nofollow\" href=\"https:\/\/cts.businesswire.com\/ct\/CT?id=smartlink&amp;url=https%3A%2F%2Fiqm.tech%2Fwp-content%2Fuploads%2F2026%2F07%2FIQM-DB-RailwayOptimization-Whitepaper.pdf&amp;esheet=54572280&amp;newsitemid=20260719172592&amp;lan=en-US&amp;anchor=here&amp;index=1&amp;md5=5021b129b370294688f542688e3d7bbc\">here<\/a>, the IQM team applied the Quantum Approximate Optimization Algorithm (QAOA) in manageable stages, with the quantum component solving smaller subproblems within a classical framework that manages the problem at full scale. The architecture is built to generalize: the same approach can be applied to comparable optimization challenges in logistics, energy, manufacturing and other sectors.<\/p>\n<p>\nThree results stand out:<\/p>\n<p><b>It works on today\u2019s hardware.<\/b> The approach delivered feasible, good-quality solutions without requiring hardware that does not yet exist. Enterprises can adopt this model now rather than waiting for fault-tolerant systems.<\/p>\n<p><b>It improves automatically as hardware improves.<\/b> Testing showed a statistically significant relationship between the size of the subproblem the quantum component could handle and the quality of the solution. As quantum processors scale, the same framework is expected to deliver better outcomes without redesign.<\/p>\n<p><b>It ran end to end on IQM hardware.<\/b> The full pipeline was executed on an IQM quantum computer, from problem formulation through to a usable result, establishing a baseline that enterprises and partners can build on.<\/p>\n<p>\n\u201cThis collaboration shows that quantum computing is already capable of tackling the kind of large-scale, real-world optimization problems enterprises face every day,\u201d said Dr. In\u00e9s de Vega, Chief Scientist of IQM Quantum Computers. &#8220;Working with Deutsche Bahn on a problem of this complexity gives us a clear blueprint for how quantum computing delivers value now, while scaling naturally as hardware improves.&#8221;<\/p>\n<p>\n\u201cQuantum computing is not going away. By tackling a real-world problem in a hybrid HPC and quantum computing environment, we have taken another step toward quantum advantage,\u201d said Manfred Rieck, Head of Quantum Technology at Deutsche Bahn.<\/p>\n<p>\nThis collaboration focused on planning under known, stable conditions. Many enterprises face a faster-moving version of the same challenge: responding to disruptions in real time, on timescales of minutes rather than hours. The researchers note that the same hybrid architecture could, in principle, be adapted to this more time-sensitive class of problem as quantum hardware improves, extending the approach further into operational decision-making.<\/p>\n<p>\nThe collaboration reflects IQM\u2019s focus on enterprise adoption of quantum computing through systems that customers own, operate and build on.<\/p>\n<p><b>About IQM Quantum Computers<\/b><\/p>\n<p>\nIQM Quantum Computers (Nasdaq: IQMX) is a global leader in superconducting quantum computers, delivering full-stack quantum systems and cloud platform access to enterprises, research institutions, universities, high-performance computing centers and national laboratories worldwide. IQM&#8217;s on-premises deployment model gives customers direct ownership and control of their quantum infrastructure. Founded in 2018 and headquartered in Finland, with major operations in Munich, IQM employs over 400 people and operates across Europe, Asia and North America. IQM is the first publicly listed European quantum company on the Nasdaq Stock Market.<\/p>\n<p><b>About Deutsche Bahn<\/b><\/p>\n<p>\nDeutsche Bahn AG is one of the world&#8217;s largest transport and logistics companies, headquartered in Berlin. With around 230,000 employees and operations in more than 130 countries, DB is Germany&#8217;s primary rail operator for both passengers and freight. DB Systel GmbH, its technology subsidiary, is responsible for the group&#8217;s digital and IT infrastructure, including the operational decision-support systems used across the network.<\/p>\n<p><img decoding=\"async\" alt=\"\" src=\"https:\/\/cts.businesswire.com\/ct\/CT?id=bwnews&amp;sty=20260719172592r1&amp;sid=flmnd&amp;distro=nx&amp;lang=en\" style=\"width:0;height:0\" \/><span class=\"bwct31415\" \/><\/p>\n<p id=\"mmgallerylink\"><span id=\"mmgallerylink-phrase\">View source version on businesswire.com: <\/span><span id=\"mmgallerylink-link\"><a href=\"https:\/\/www.businesswire.com\/news\/home\/20260719172592\/en\/\" rel=\"nofollow\">https:\/\/www.businesswire.com\/news\/home\/20260719172592\/en\/<\/a><\/span><\/p>\n<p><b>IQM Media contact:<br \/>\n<\/b><br \/>Email: <a rel=\"nofollow\" href=\"mailto:press@iqm.tech\">press@iqm.tech<\/a><\/p>\n<p><b>KEYWORDS:<\/b> United States Finland Canada North America Asia Pacific Europe Germany<\/p>\n<p><b>INDUSTRY KEYWORDS:<\/b> Research Mobile\/Wireless Technology Rail Semiconductor Transport Other Technology Hardware Data Management Science<\/p>\n<p><b>MEDIA:<\/b><\/p>\n<table cellpadding=\"3\" cellspacing=\"3\">\n<tr>\n<td><font face=\"Arial\" size=\"2\"><b>Photo<\/b><\/font><\/td>\n<\/tr>\n<tr>\n<td><img decoding=\"async\" src=\"https:\/\/mms.businesswire.com\/media\/20260719172592\/en\/2854322\/3\/IQM-DB-WP-PR.jpg\" alt=\"Photo\" \/><\/td>\n<\/tr>\n<tr>\n<td><font face=\"Arial\" size=\"2\">IQM&#8217;s whitepaper on hybrid quantum optimization for railway scheduling, developed with Deutsche Bahn.<\/font><\/td>\n<\/tr>\n<tr>\n<td><font face=\"Arial\" size=\"2\"><b>Logo<\/b><\/font><\/td>\n<\/tr>\n<tr>\n<td><img decoding=\"async\" src=\"https:\/\/mms.businesswire.com\/media\/20260719172592\/en\/2854321\/3\/Screenshot_2026-07-17_at_09.44.36.jpg\" alt=\"Logo\" \/><\/td>\n<\/tr>\n<tr>\n<td><font face=\"Arial\" size=\"2\"><\/font><\/td>\n<\/tr>\n<\/table>\n","protected":false},"excerpt":{"rendered":"<p>IQM and Deutsche Bahn Demonstrate Quantum Algorithm for Railway Scheduling on Real Operational Data A hybrid quantum-classical algorithm, executed end to end on IQM hardware, produced feasible schedules with Deutsche Bahn, the German rail operator, using a real operational dataset of 190 trips across five German cities. The approach runs on today\u2019s hardware and is designed to improve automatically as quantum processors scale, offering enterprises a model for extracting value now, ahead of fault-tolerant computing. The collaboration reflects IQM\u2019s push into enterprise adoption. The company has sold 24 quantum computers worldwide and listed on the Nasdaq Global Select Market and Nasdaq Helsinki in July 2026 under the ticker IQMX. MUNICH&#8211;(BUSINESS WIRE)&#8211;IQM Quantum Computers (Nasdaq: IQMX), a global leader in full-stack &hellip; <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/www.marketnewsdesk.com\/index.php\/iqm-and-deutsche-bahn-demonstrate-quantum-algorithm-for-railway-scheduling-on-real-operational-data\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;IQM and Deutsche Bahn Demonstrate Quantum Algorithm for Railway Scheduling on Real Operational Data&#8221;<\/span><\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[],"tags":[],"class_list":["post-982627","post","type-post","status-publish","format-standard","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.0 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>IQM and Deutsche Bahn Demonstrate Quantum Algorithm for Railway Scheduling on Real Operational Data - Market Newsdesk<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.marketnewsdesk.com\/index.php\/iqm-and-deutsche-bahn-demonstrate-quantum-algorithm-for-railway-scheduling-on-real-operational-data\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"IQM and Deutsche Bahn Demonstrate Quantum Algorithm for Railway Scheduling on Real Operational Data - Market Newsdesk\" \/>\n<meta property=\"og:description\" content=\"IQM and Deutsche Bahn Demonstrate Quantum Algorithm for Railway Scheduling on Real Operational Data A hybrid quantum-classical algorithm, executed end to end on IQM hardware, produced feasible schedules with Deutsche Bahn, the German rail operator, using a real operational dataset of 190 trips across five German cities. The approach runs on today\u2019s hardware and is designed to improve automatically as quantum processors scale, offering enterprises a model for extracting value now, ahead of fault-tolerant computing. The collaboration reflects IQM\u2019s push into enterprise adoption. The company has sold 24 quantum computers worldwide and listed on the Nasdaq Global Select Market and Nasdaq Helsinki in July 2026 under the ticker IQMX. 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The approach runs on today\u2019s hardware and is designed to improve automatically as quantum processors scale, offering enterprises a model for extracting value now, ahead of fault-tolerant computing. The collaboration reflects IQM\u2019s push into enterprise adoption. The company has sold 24 quantum computers worldwide and listed on the Nasdaq Global Select Market and Nasdaq Helsinki in July 2026 under the ticker IQMX. 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