A hybrid quantum-classical algorithm, run entirely on IQM hardware, generated feasible schedules for Deutsche Bahn using a real-world operational dataset of 190 trips through five German cities.
This approach runs on today’s hardware and is designed to automatically improve as quantum processors scale. It offers companies a model for generating value today—even before the advent of fault-tolerant computing.
The collaboration reflects IQM’s push toward enterprise applications. The company has sold 24 quantum computers worldwide and has been listed on the Nasdaq Global Select Market and Nasdaq Helsinki under the ticker symbol IQMX since July 2026.
$IQMX (+2,57%) **MUNICH--(BUSINESS WIRE)**--
IQM Quantum Computers (Nasdaq: IQMX), a global leader in superconducting full-stack quantum computers, today released the results of a research collaboration with Deutsche Bahn, Europe’s largest rail operator. The study examines how quantum computing can improve schedule planning in rail transportation.
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IQM’s white paper on hybrid quantum optimization for rail timetable planning, developed in collaboration with Deutsche Bahn.
IQM’s white paper on hybrid quantum optimization for rail timetable planning, developed in collaboration with Deutsche Bahn.
Using a real-world operational dataset from Deutsche Bahn—a timetable comprising 190 trips through five German cities, which translates to approximately 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 white paper published here, the IQM team applied the Quantum Approximate Optimization Algorithm (QAOA) in manageable phases. In this process, the quantum component solved smaller subproblems within a classical framework that manages the entire problem in its entirety. The architecture is designed for generalization: The same approach can be applied to comparable optimization challenges in logistics, energy, manufacturing, and other sectors.
### Three findings stand out:
* **It works on current hardware.** The approach delivered feasible, high-quality solutions without requiring hardware that does not yet exist. Companies can adopt this model right now, rather than waiting for fault-tolerant systems.
* **It improves automatically as hardware advances.** Tests showed a statistically significant correlation between the size of the subproblem that the quantum component could handle and the quality of the solution. As quantum processors scale, the same framework is expected to deliver better results without requiring redesign.
* **It ran end-to-end on IQM hardware.** The entire pipeline was executed on an IQM quantum computer, from problem formulation to a usable result. This creates a foundation on which companies and partners can build.
> “This collaboration demonstrates that quantum computing is already capable of tackling the kind of large-scale, real-world optimization problems that companies face every day,” said Dr. Inés de Vega, Chief Scientist at IQM Quantum Computers. “Working with Deutsche Bahn on a problem of this complexity gives us a clear blueprint for how quantum computing delivers value today while naturally scaling as hardware improves.”
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> “Quantum computing isn’t going away. By tackling a real-world problem in a hybrid HPC and quantum computing environment, we’ve taken another step closer to achieving the quantum advantage,” said Manfred Rieck, Head of Quantum Technology at Deutsche Bahn.
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This collaboration focused on planning under known, stable conditions. Many companies face a more fast-paced version of the same challenge: responding to disruptions in real time, within timeframes 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 problems as quantum hardware improves, which would extend the approach further toward operational decision-making.
The collaboration reflects IQM’s focus on enabling enterprise use of quantum computers through systems that customers can own, operate, and build upon.
### About IQM Quantum Computers
IQM Quantum Computers (Nasdaq: IQMX) is a global leader in superconducting quantum computers, providing full-stack quantum systems and access to cloud platforms 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 over their quantum infrastructure. Founded in 2018, the company is headquartered in Finland with key offices in Munich, employs over 400 people, and operates in Europe, Asia, and North America. IQM is the first publicly traded European quantum company on the Nasdaq Stock Market.
### About Deutsche Bahn
Deutsche Bahn AG is one of the world’s largest transportation and logistics companies, headquartered in Berlin. With approximately 230,000 employees and operations in more than 130 countries, DB is Germany’s leading rail operator for passenger and freight transport. Its technology subsidiary, DB Systel GmbH, is responsible for the Group’s digital and IT infrastructure, including the operational decision-support systems used throughout the network.
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**IQM Press Contact:** Email: press@iqm.tech
**Source:** IQM Quantum Computers
**Copyright:** Business Wire 2026

