As part of a joint experiment, specialists from IQM Quantum Computers and Deutsche Bahn successfully tested a hybrid quantum-classical algorithm designed for building railway schedules. The testing was conducted using real operational data from the German railway operator, giving the results particular practical significance.
Hybrid Approach: Quantum Core and Classical Shell
The key feature of the developed method lies in its hybrid architecture. The IQM quantum computer solved only small but most complex subtasks related to rolling stock distribution. All other computational load — coordination and management of the overall calculation — remained on the classical system side. This symbiosis made it possible to generate feasible schedule options directly on IQM equipment.
From a practical standpoint, this means that quantum computing can be effectively integrated into existing infrastructure without the need for a complete replacement of traditional systems. For Deutsche Bahn, which operates thousands of trains daily, even a partial improvement in scheduling algorithms can lead to significant resource savings and increased punctuality.
Expert Commentary: This experiment is a vivid example of how quantum technologies are gradually moving from laboratories into the real economy. The hybrid approach, where the quantum processor takes on the most computationally intensive optimization tasks, is the most pragmatic and commercially justified at the current stage of quantum computer development. Success in such a complex and inertial industry as railway transportation opens the door for the implementation of quantum algorithms in logistics, air travel, and supply chain management. Investors should pay attention to companies that are already demonstrating working integrations of quantum solutions with classical IT infrastructure — this is a sure sign of technology maturity.