The project "Quantum Computation for Optical Sensor Design" (QCOptSens) is one of the projects from the Quantum Computing Initiative and is led by the DLR Institute of Optical Sensor Systems (DLR-OS). DLR-OS has been successfully developing camera systems and spectrometers for aerospace, security and traffic for years. These highly complex instruments contain a large number of optical, mechanical, electronic and software components that must be coordinated in detail and controlled during operation to ensure high data quality. These strict requirements against the background of ever-increasing dimensionality in sensor data require new technologies and calculation methods in instrument design in the long term. This is where we reach the limits of available approaches, as each instrument has to be optimized in terms of data quality and boundary conditions with regard to a variety of environment-dependent parameters. A prototypical question here is the design of diffracting structures. Forward calculations of light propagation are possible with today's computers, but an accurate inverse optimization of diffraction designs is no longer feasible globally-optimally, as a "simultaneous" observation of many local optima would be necessary.
The aim of this call ("Optimization of diffraction systems with QC") is to find an industrial partner to develop new approaches for the improvement of optical instruments for the aerospace industry. The aim is to optimize diffraction structures for the application and calibration of optical sensor systems in the aerospace industry, especially under manufacturing boundary conditions. The calibration of high-resolution hyperspectral camera systems is carried out with components that are designed to generate diffraction patterns according to strict targets. Their efficient design under manufacturing conditions leads to "hard" optimization problems and it will be investigated whether these can be solved globally with hybrid quantum computing.
The industrial participation in the QCOptSens project is made up of two components. The first part is direct participation in the project, the second part is integration via technology transfer. Further information can be found in the tender specifications attached to the tender documents.

LOT-0001
QCOptSens.
The project "Quantum Computation for Optical Sensor Design" (QCOptSens) is one of the projects from the Quantum Computing Initiative and is led by the DLR Institute of Optical Sensor Systems (DLR-OS). DLR-OS has been successfully developing camera systems and spectrometers for aerospace, security and traffic for years. These highly complex instruments contain a large number of optical, mechanical, electronic and software components that must be coordinated in detail and controlled during operation to ensure high data quality. These strict requirements against the background of ever-increasing dimensionality in sensor data require new technologies and calculation methods in instrument design in the long term. This is where we reach the limits of available approaches, as each instrument has to be optimized in terms of data quality and boundary conditions with regard to a variety of environment-dependent parameters. A prototypical question here is the design of diffracting structures. Forward calculations of light propagation are possible with today's computers, but an accurate inverse optimization of diffraction designs is no longer feasible globally-optimally, as a "simultaneous" observation of many local optima would be necessary.
The aim of this call ("Optimization of diffraction systems with QC") is to find an industrial partner to develop new approaches for the improvement of optical instruments for the aerospace industry. The aim is to optimize diffraction structures for the application and calibration of optical sensor systems in the aerospace industry, especially under manufacturing boundary conditions. The calibration of high-resolution hyperspectral camera systems is carried out with components that are designed to generate diffraction patterns according to strict targets. Their efficient design under manufacturing conditions leads to "hard" optimization problems and it will be investigated whether these can be solved globally with hybrid quantum computing.
The industrial participation in the QCOptSens project is made up of two components. The first part is direct participation in the project, the second part is integration via technology transfer. Further information can be found in the tender specifications attached to the tender documents.