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The D-Fine<\/a> & Planqc<\/a> consortium has been awarded a tender to support the QCMobility | Rail Transport<\/a> project, which is led by the DLR Institute of Transportation Systems<\/a>. The project aims to systematically test the use of quantum-based algorithms in real rail scenarios, from short-term dispatch to strategic planning. This collaboration was initiated through a tender process and includes partners from the rail sector and research institutions.<\/p>\n The consortium, composed of D-Fine and Planqc, will work with rail transport partners Hessische Landesbahn<\/a>, DB InfraGO<\/a>, and \u00d6BB Infrastruktur<\/a>, who will provide practical use cases and real-world data. The Fraunhofer Institute for Cognitive Systems (IKS)<\/a> is contributing expertise in quantum-assisted AI. The project will address complex decision-making problems, such as real-time adjustments for disruptions and long-term timetable planning, which are challenges for conventional approaches.<\/p>\n The goal of the project is to translate real-world rail challenges into mathematical models and solve them using quantum-based optimization. The results will be compared with conventional methods and used to develop a roadmap for the future application of quantum computers in the rail sector. This collaboration demonstrates a practical application of quantum computing and quantum machine learning to a major industrial use case, with the aim of estimating the technology\u2019s potential for improving rail transport efficiency and reliability.<\/p>\n Read the full announcement from the DLR Institute of Quantum Technologies here<\/a>.<\/p>\n August 25, 2025<\/p>\n
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