QC Mobility Intermodal & Straßenverkehr: Faster Routes, Fewer Emissions: Optimizing Logistics with Quantum

The Challenge

Modern mobility networks—spanning rail, road, waterborne freight, and urban delivery—face exponentially increasing complexity. Efficient route planning, capacity utilization, and dynamic re-routing in response to real-time demand and traffic constraints are essential but challenging when responsible for multiple transport modes. Traditional optimization methods struggle with these combinatorial problems, limiting responsiveness and scalability.

Our Approach

planqc leads the development of quantum-enhanced optimization algorithms designed to tackle intermodal and on-demand transport challenges. These algorithms translate complex logistics problems onto quantum hardware or simulators, leveraging quantum effects to explore solution spaces more efficiently than classical methods. 

In intermodal transport, the goal is to optimize freight movement across rail, road, and waterways using real-world data. In road transport, the algorithms improve routing for on-demand and delivery services by dynamically determining stop locations and vehicle dispatch strategies with real-time adaptability. 

Collaboration with research, development and industry partners ensures that real-world transport constraints are accurately captured in quantum-ready optimization models. Although based on quantum principles, proof-of-concept implementations of the technology can run on quantum simulators and near-term quantum hardware. 

The Potential

By applying quantum-driven methods, we seek to increase resource efficiency across freight and delivery networks, while also enhancing their ability to respond flexibly to dynamic demand and constantly changing routing conditions. At the same time, more intelligent modal shifts and optimized routing can contribute to a meaningful reduction in emissions. 

Beyond these immediate benefits, the QCMobility projects lay the foundation for future quantum-native logistics platforms that span various mobility sectors. The project represents a major step toward the industrial application of quantum computing in complex, real-time environments—highlighting its far-reaching potential for AI-enabled logistics, sustainable mobility solutions, and forward-looking urban planning.