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# IQM and Deutsche Bahn Demonstrate Quantum Algorithm For Railway Scheduling on Real Operational Data

**[The Quantum Insider](https://daily.dev/sources/thequantuminsider)** · 3 min read · 0 upvotes · 0 comments

## Summary

IQM Quantum Computers and Deutsche Bahn have published results of a research collaboration applying a hybrid quantum-classical algorithm to real railway scheduling data. The project used a Deutsche Bahn dataset covering 190 trips across five German cities with ~98,500 possible scheduling cycles. The Quantum Approximate Optimization Algorithm (QAOA) was used to solve smaller subproblems within a classical framework managing the full-scale problem. Key findings: the approach produces feasible solutions on current hardware, solution quality improves as quantum processors scale, and the full pipeline ran end-to-end on an IQM quantum computer. The architecture is designed to generalize to logistics, energy, and manufacturing optimization challenges.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://thequantuminsider.com/2026/07/20/iqm-and-deutsche-bahn-demonstrate-quantum-algorithm-for-railway-scheduling-on-real-operational-data>

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