Evaluating Quantum Methods for Industrial Applications
Fraunhofer ITWM identifies and models use cases for Quantum Computing across a range of industries, including chemicals, energy, finance, healthcare, logistics, manufacturing, materials science, and mobility. Its researchers develop and investigate quantum methods for machine learning, optimization, and simulation. These approaches are compared with classical methods and tested on quantum hardware and simulators.
Another key focus is the integration of Quantum Computing and High Performance Computing (HPC). The aim is to combine the two technologies wherever hybrid approaches offer potential advantages. To this end, the institute conducts research into quantum software stacks, the translation of quantum algorithms for different hardware architectures, and the efficient distribution of computational tasks between classical high-performance computers and quantum systems.
»Progress towards practical Quantum Computing happens when people work together who understand both the technology and its potential applications. Our partnership brings precisely these perspectives together across disciplines and national borders. Through joint educational programmes, workshops, and publications, we aim to translate this exchange into applicable knowledge. This will help businesses and researchers better assess which challenges are promising candidates for quantum approaches and which next steps make sense on the path towards industrial applications,« says Dr. Pascal Halffmann, Research Coordinator for Quantum Computing at Fraunhofer ITWM.