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Postmedia has not reviewed the content. by Business Wire IQM and Deutsche Bahn Demonstrate Quantum Algorithm for Railway Scheduling on Real Operational DataAuthor of the article: You can save this article by registering for free here. Or sign-in if you have an account.IQM's whitepaper on hybrid quantum optimization for railway scheduling, developed with Deutsche Bahn. Business WireA 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’s 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’s 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.THIS CONTENT IS RESERVED FOR SUBSCRIBERS ONLYSubscribe now to read the latest news in your city and across Canada.Exclusive articles from Barbara Shecter, Joe O'Connor, Gabriel Friedman, and others.Daily content from Financial Times, the world's leading global business publication.Unlimited online access to read articles from Financial Post, National Post and 15 news sites across Canada with one account.National Post ePaper, an electronic replica of the print edition to view on any device, share and comment on.Daily puzzles, including the New York Times Crossword.SUBSCRIBE TO UNLOCK MORE ARTICLESSubscribe now to read the latest news in your city and across Canada.Exclusive articles from Barbara Shecter, Joe O'Connor, Gabriel Friedman and others.Daily content from Financial Times, the world's leading global business publication.Unlimited online access to read articles from Financial Post, National Post and 15 news sites across Canada with one account.National Post ePaper, an electronic replica of the print edition to view on any device, share and comment on.Daily puzzles, including the New York Times Crossword.REGISTER / SIGN IN TO UNLOCK MORE ARTICLESCreate an account or sign in to continue with your reading experience.Access articles from across Canada with one account.Share your thoughts and join the conversation in the comments.Enjoy additional articles per month.Get email updates from your favourite authors.THIS ARTICLE IS FREE TO READ REGISTER TO UNLOCK.Create an account or sign in to continue with your reading experience.Access articles from across Canada with one accountShare your thoughts and join the conversation in the commentsEnjoy additional articles per monthGet email updates from your favourite authorsSign In or Create an AccountMUNICH — IQM Quantum Computers (Nasdaq: IQMX), a global leader in full-stack superconducting quantum computers, today published the results of a research collaboration with Deutsche Bahn, Europe’s largest rail operator, exploring how quantum computing can improve railway scheduling.Get the latest headlines, breaking news and columns.By signing up you consent to receive the above newsletter from Postmedia Network Inc.A welcome email is on its way. If you don't see it, please check your junk folder.The next issue of Top Stories will soon be in your inbox.We encountered an issue signing you up. Please try againUsing 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.As detailed in a published whitepaper here, 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.It works on today’s hardware.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.It improves automatically as hardware improves.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.It ran end to end on IQM hardware.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.“This collaboration shows that quantum computing is already capable of tackling the kind of large-scale, real-world optimization problems enterprises face every day,” said Dr. Inés de Vega, Chief Scientist of IQM Quantum Computers. “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.”“Quantum 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,” said Manfred Rieck, Head of Quantum Technology at Deutsche Bahn.This 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.The collaboration reflects IQM’s focus on enterprise adoption of quantum computing through systems that customers own, operate and build on.About IQM Quantum ComputersIQM 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’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.Deutsche Bahn AG is one of the world’s largest transport and logistics companies, headquartered in Berlin. With around 230,000 employees and operations in more than 130 countries, DB is Germany’s primary rail operator for both passengers and freight. DB Systel GmbH, its technology subsidiary, is responsible for the group’s digital and IT infrastructure, including the operational decision-support systems used across the network.View source version on businesswire.com: This advertisement has not loaded yet.Notice for the Postmedia NetworkThis website uses cookies to personalize your content (including ads), and allows us to analyze our traffic. Read more about cookies here. By continuing to use our site, you agree to our Terms of Use and Privacy Policy.
IQM and Deutsche Bahn Demonstrate Quantum Algorithm for Railway Scheduling on Real Operational Data
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