Contractor wanted for QCI QuTeNet | Tensor Networks

We are looking for a contractor for our QuTeNet project to support us in the implementation of tensor network-based methods with their own use case. Participation in the tender process is possible via TED 341092-2024. The submission deadline is 11 July 2024 at 2 pm.

The potential of quantum computers for tensor networks

Our project QuTeNet evaluates the advantages and disadvantages of quantum tensor networks compared to classical networks for applications in quantum simulation and quantum AI and investigates the applicability of quantum tensor networks on real quantum hardware. It develops concepts and methods to implement and analyse quantum tensor networks, evaluates the development possibilities of tensor network methods on classical computers and deals with concrete use cases in the simulation of quantum systems.

Collaboration in the QuTeNet | Tensor Networks project

To participate in QuTeNet, we are now looking for an industrial partner who can support us in further developing tensor network-based methods for quantum optimisation using their own use case. The use case should be derived from a specific application example from industry and complement the topics already analysed in DLR QCI projects. Possible subject areas include aviation, aerospace, energy, transport, security and digitalisation. The result is the definition of the optimisation problem and the provision of data for the optimisation.

Specifically, as part of this mandate, we require, among other things

  • the introduction of your own use case from the field of combinatorial optimisation
  • the implementation of quantum tensor network methods for quantum optimisation
  • conceptual work on the mapping of tensor network-based AI models on quantum hardware and on the correctness of the learning procedures as well as the operationalisation of the developed methods
  • the evaluation of the method in comparison to common quantum optimisers (QAOA, VQE) and classic solutions based on the use case, and
  • Literature research and networking and dissemination activities.

All information can be found in the tender documents including the service description on subreport ELViS.