Insider Brief
- Tensor AI Solutions has been commissioned by the German Aerospace Center under its Quantum Computing Initiative to support the QCMineral | QUADRANT project, which aims to use quantum-enabled simulations to design redox materials for efficient energy generation and storage.
- The project applies tensor-network-based AI and quantum simulation methods to overcome the limits of conventional materials modeling approaches, such as density functional theory, in capturing complex quantum-mechanical effects.
- Implementation involves collaboration with Fraunhofer institutes and DLR research institutes, positioning tensor networks as a bridge technology for hybrid classical–quantum computing in advanced materials research.
PRESS RELEASE — The high-tech company Tensor AI Solutions has been commissioned by the German Aerospace Center (DLR) within the framework of the DLR Quantum Computing Initiative (DLR QCI) for the project QCMineral | QUADRANT.
The aim of the research project is the simulation of redox materials for the efficient generation and storage of energy. Tensor AI Solutions GmbH contributes its expertise in tensor-network-based AI and quantum simulation and coordinates the project on the industrial side. Implementation is carried out with the involvement of the Fraunhofer Institutes for Industrial Engineering and Organization (IAO) and for Manufacturing Engineering and Automation (IPA), which contribute their expertise in materials simulation and quantum computing as subcontractors. On the client side, the project is being conducted at the DLR Institute of Materials Physics in Space and at the DLR Institute of Future Fuels. QCMineral is a project of the DLR Quantum Computing Initiative and is made possible with funding from the Federal Ministry for Research, Technology and Space (BMFTR).
Redox materials play a central role in the efficient conversion and storage of energy in thermochemical cycles. Targeted material design determines how efficiently heat—such as from concentrated solar radiation or industrial waste heat—can be converted into chemical energy. For the evaluation and optimization of these materials, highly precise calculations of quantum-mechanical effects are required, which are only possible to a limited extent using previous simulation methods such as density functional theory.
Here, the application of advanced simulation methods, including tensor networks, and the use of quantum computers can provide a decisive advantage in the exploration of new materials. Tensor networks enable structured, controllable, and transparent data processing and thus make an important contribution to traceable simulations and explainable AI in a highly complex physico-chemical field of application.
Due to their flexibility, tensor networks can be deployed both on classical high-performance computers and on future quantum hardware. They therefore form a central bridging element for hybrid computing, in which calculations can be scaled in a targeted manner between classical and quantum-based hardware in order to optimally balance accuracy, efficiency, and resources.
About Tensor AI Solutions GmbH
Tensor AI Solutions GmbH is a high-tech company for explainable artificial intelligence using tensor-network-based AI and quantum technologies. The company develops hardware-agnostic, transparent, and controllable AI solutions for safety-critical applications, including in the fields of defense, robotics, and manufacturing.
The company’s proprietary tensor network technology enables energy-efficient AI systems without a black-box character and simultaneously forms the foundation for hybrid computing that connects classical high-performance computing and quantum computing. In this way, Tensor AI Solutions contributes to European technological sovereignty.
About the DLR Quantum Computing Initiative (DLR QCI)
The DLR Quantum Computing Initiative (DLR QCI) brings together research, industry, and start-ups to jointly develop quantum computers, manufacturing technologies, and relevant application cases. To this end, DLR QCI provides the necessary technological infrastructures, workshops, and office space at two innovation centers in Hamburg and Ulm. This creates a strong ecosystem for competitive, sovereign quantum computing in Germany and Europe, enabled by the Federal Ministry for Research, Technology and Space.
qci.dlr.de
