At the DLR Quantum Computing Initiative, we create the ideal environment for technology transfer between industry and research. To this end, with the DLR Innovation Centers in Hamburg and Ulm, we have created locations where industry and research come together in a creative space to jointly develop quantum computers, and the technologies, software and applications they require.
We support these synergies by involving companies in our research projects. To this end, we regularly publish open calls for proposals. These industrial contracts are 100 percent financed by us. In this way, companies can get involved in the ecosystem and expand their quantum computing know-how based on real use cases and with real quantum computers.
Companies interested in an industrial partnership can either apply for a suitable call for proposal or contact the project leaders of the QCI projects in advance of a tender.
Contact persons for general enquiries
Dr. Andreas Spörl
Dr. Uwe Müller
The following projects will be seeking industrial partners in the next twelve months
Objective
We simulate battery materials at the atomic level and battery cells at the continuum level using quantum computers from the DLR Quantum Computing Initiative and adapt the quantum simulation to specific hardware.
Planned Calls for Proposal
Continuum Simulation for Battery Materials | Applications for Battery Materials
Contact
Project Lead
Birger Horstmann | Mail
DLR Institute of Engineering Thermodynamics
Objective
Improving the reliability of quantum information processing using methods such as error models, simulators for quantum error correction algorithms and new decoders for quantum error correction.
Planned Calls for Proposal
Development of a detailed error model for the specific hardware platform. This will serve as the basis for all activities in the project | Development of quantum error correction codes and decoding algorithms tailored to the hardware platform | Improvement of the quality of quantum gates based on the theory of optimal quantum control | Optimisation of quantum circuits to obtain the best possible circuit for the implementation of the developed QEC techniques | Application of error mitigation techniques to enable the execution of selected quantum algorithms on the noisy hardware.
Contact
Project Lead
Gianluigi Liva | Mail
DLR Institute of Communications and Navigation
Poster (German)
Objective
Developing advanced methods for materials science, materials engineering and industry that use quantum computers to enable the rapid discovery of new materials in the future and to drastically reduce development times.
Planned Calls for Proposal
Statics and dynamics of water | Simulation of strongly correlated systems at an atomic level | Machine learning / optimisation tasks in material sciences | Interaction at the atomic level between H and O as single elements and in the form of H2O with metallic elements | Stability of compounds with strong and weak electronic correlations embedded in metallic environments | QC optimisation tasks for CALPHAD-assisted material development
Contact
Project Lead
Eric Breitbarth | Mail
DLR Institute of Materials Research
Objective
ALQU focuses on the most important problem areas of quantum software development: the efficient compilation of quantum circuits on quantum computing hardware and the development of customised quantum algorithms for hard, industry-relevant computing problems
Planned Calls for Proposal
Software development, implementation as well as maintenance and deployment of software modules for interfaces, test environments and benchmark databases
Contact
Project Lead
Peter Ken Schuhmacher | Mail
DLR Institute for Software Technology
QUANTITY: Quantum-assisted Cryptanalysis
Objective
Analysis and development of the application of quantum algorithms in cryptanalysis methods for quantum computer-resistant cryptosystems to determine the security of cryptosystems in the presence of powerful quantum computers.
Planned Calls for Proposal
Analysis of existing quantum algorithms with regard to their cryptographic relevance | Derivation of complex metrics for quantum algorithms that are very well suited to derive the degree of security of existing and future cryptosystems. | Complexity analysis of the derived quantum algorithms with respect to the developed metrics. Proof-of-concept implementation of the developed quantum algorithms.
Contact
Project Lead
Hannes Bartz | Mail
DLR Institute of Communications and Navigation
QCMobility: Quantencomputing & Mobilität
Objective
Research into application problems in the field of mobility that can benefit from the use of quantum computers. To this end, the domains of air transport, road transport, rail transport, maritime transport and intermodal transport are being considered in cooperation with industrial partners and DLR institutes..
Planned Calls for Proposal
The potential of quantum computers for tactical and strategic planning processes in air transport (flight planning, crew planning, etc.) | for the optimisation of new mobility services | for the improvement of use cases in rail transport (journey planning, capacity planning, conflicts due to delays, etc.) | for the verification and validation of highly automated/autonomous systems for maritime transport (collision avoidance, optimisation of traffic flows during port or lock access, etc.) | for the control of intermodal transport logistics chains and optimisation
Contact
Project Lead
Matthias Zimmermann | Mail
Sabine Wölk | Mail
DLR Institute of Quantum Technologies
Attraqt’em: Algorithmen des Quantencomputing in der Energiesystem-Modellierung
Objective
The primary goal is to develop the necessary interfaces to solve linear optimisation problems from energy system modelling using quantum algorithms. The scientific part of the work is the decomposition of optimisation problems into a classical and a quantum part in order to use the advantages of existing quantum computing algorithms as effectively as possible. These hybrid algorithms are developed and tested on the basis of existing quantum algorithms wherever possible.
Planned Calls for Proposal
We are seeking industrial partners who offer quantum computing solutions for our optimisation problems or want to (further) develop them with us, | with an energy industry background, | who have to solve similar linear optimisation problems to contribute their model instances to the project as a further object of research
Contact
Project Lead
Oriol Raventós Morera | Mail
Wided Medjroubi | Mail
Karl-Kiên Cao | Mail
DLR Institute of Networked Energy Systems
NeMoQC: Neuromorphe Quantencomputer für Vorhersage und Optimierung
Objective
Does Quantum Reservoir Computing (QRC) deliver valid predictions? | Are quantum systems with 8-12 qubits really sufficient to replace “conventional” reservoirs with several hundred nodes? | How do prediction and optimisation results depend on the type and strength of the interaction between the qubits? | What is the optimal quantum reservoir? | How useful are the results in practice? | How can a possible hardware realisation of QRC look like?
Planned Calls for Proposal
We are looking for industrial partners who want to develop prototypical quantum computing solutions with us through hardware-software codesigns based on our simulation results, | who want to participate in the work on optimising QRC, and | who want to apply the results directly to their own data sets and their questions in the field of prediction and optimisation. Together we want to achieve quantum leaps in the prediction (and optimisation) of complex systems through quantum reservoir computing!
Contact
Project Lead
Christoph Räth | Mail
DLR Institute for AI Safety and Security
QI-Mozart: Quantum-Inspired Mobility OptiMization and Analysis in Real Time
Objective
Implementation of a quantum-inspired overall system for traffic control and testing in a real test field. In addition to demonstrating the technical feasibility, the aim is to show local authorities and infrastructure operators ways in which quantum computing technologies could be used in everyday operations in the future. Important pillars include technology transfer and the networking of stakeholders.
Planned Calls for Proposal
Provision of an overall system consisting of quantum-inspired hardware with traffic control executed on it | Important prerequisites for successful field implementation: know-how on traffic light systems, their interfaces and modes of operation.
Contact
Project Lead
Robert Oertel | Mail
Jan Trumpold | Mail
DLR Institute of Transportation Systems
ToQuaFliCS: Towards Quantum Fluid Dynamics
Objective
How can quantum computers be used for applications in aerodynamics and fluid mechanics to design future aircraft more efficiently? To this end, we are investigating which equations are suitable for the simulation of compressible flows on the quantum computer and how many qubits are necessary to solve relevant or realistic problems. To this end, we are investigating compressible Euler and Navier-Stokes equations in comparison to the Boltzmann equation and Lattice-Boltzmann methods.
Planned Calls for Proposal
Aero-acoustics methods on quantum computers | Supersonic flows for propulsion systems | Methods and hardware for ordinary differential equations on quantum computers | Support for a quantum simulator
Contact
Project Lead
Stefan Langer | Mail
DLR Institute of Aerodynamics and Flow Technology
Cookie Consent with Real Cookie Banner