The project "Quantum Computing for Processing and Optimization Tasks in Radar Remote Sensing" (QUA-SAR) is an application-oriented study carried out as part of DLR's Quantum Computing Initiative. The core objective of this research project is the development of innovative processing concepts and quantum algorithms for radar applications in general and synthetic aperture radar systems for Earth observation in particular. This study is led by the Institute of High Frequency Engineering and Radar Systems (HR), with its world-leading expertise in space-based radar remote sensing. To this end, the HR Institute is researching, among other things, new possibilities for processing complex radar data and optimizing radar systems. Quantum computing offers a number of promising potentials for this, ranging from sensor design to data evaluation, and in the foreseeable future will allow certain computationally intensive tasks to be solved in exponentially shorter runtime compared to classical computers, or even make it possible to solve certain problems in the first place.
The subject of this call for tenders is an industrial participation in the project, which is to be divided into two main work packages. The first main work package (HAP 1) deals with quantum optimization for resource management and interference suppression, while the second main work package (HAP 2) deals with quantum machine learning for automatic target detection and tracking. Further information can be found in the tender specifications attached to the tender documents.

LOT-0001
QUA-SAR.
The project "Quantum Computing for Processing and Optimization Tasks in Radar Remote Sensing" (QUA-SAR) is an application-oriented study carried out as part of DLR's Quantum Computing Initiative. The core objective of this research project is the development of innovative processing concepts and quantum algorithms for radar applications in general and synthetic aperture radar systems for Earth observation in particular. This study is led by the Institute of High Frequency Engineering and Radar Systems (HR), with its world-leading expertise in space-based radar remote sensing. To this end, the HR Institute is researching, among other things, new possibilities for processing complex radar data and optimizing radar systems. Quantum computing offers a number of promising potentials for this, ranging from sensor design to data evaluation, and in the foreseeable future will allow certain computationally intensive tasks to be solved in exponentially shorter runtime compared to classical computers, or even make it possible to solve certain problems in the first place.
The subject of this call for tenders is an industrial participation in the project, which is to be divided into two main work packages. The first main work package (HAP 1) deals with quantum optimization for resource management and interference suppression, while the second main work package (HAP 2) deals with quantum machine learning for automatic target detection and tracking. Further information can be found in the tender specifications attached to the tender documents.