Contractor wanted for QCMobility | Maritime Transport project

22. February 2024

We are looking for contractors for our QCMobility project to support us in the Maritime Transport sub-project in defining and solving optimisation problems. The focus is on strategic and tactical planning processes in maritime transport with lock management as a use case. Participation in the tendering process is possible via TED 108461-2024. The submission deadline is 21 March 2024 at 2 pm.

At the same time, we are also inviting applications for participation in the QCMobility | Rail Transport project. You can find information on the call for applications here.

Collaboration in the QCMobility | Maritime Transport project

One of the aims of the project is to determine the maximum number of parameters that can be taken into account in a conventional optimisation problem converted into a quantum-based problem, to investigate the advantage over classical calculations and to find and test a quantum-based solution for a specific problem example. The industrial partner to be commissioned is to design, implement and evaluate a compiler for solving conventional optimisation problems. A specific use case from lock management will serve as an example. This is initially simplified and considered at a strategic level and can later be extended to tactical solution approaches for finding optimal trajectories in the area in front of the lock. The problem must first be formalised and automated and reformulated mathematically in such a way that it can be solved by a quantum computer before the compiler is designed, implemented and evaluated.

The potential of quantum computers for mobility

Our QCMobility project explores the potential of quantum computers for highly relevant and critical application problems in the field of mobility. Together with partners from industry and research, we are developing customised quantum algorithms and demonstration problems that will be implemented on the DLR QCI quantum computers.

In the QCMobility project, industrial partners and DLR institutes are jointly utilising quantum computing for various mobility applications

  • strategic and tactical planning processes in air traffic,
  • Optimisation problems in demand-responsive transport,
  • Planning and scheduling processes in rail transport,
  • Route and trajectory optimisation for highly automated/autonomous systems in maritime transport and
  • the optimisation of multidimensional logistics networks in intermodal transport.

The project results will be incorporated into a roadmap on quantum computing and mobility.