Fraunhofer Institute for Industrial Mathematics ITWM
The Analytics and Computing division of the Fraunhofer Institute for Industrial Mathematics (ITWM) combines financial mathematics, data science, AI, quantum and high-performance computing to develop scalable, data-driven solutions across industries. Quantum computing activites are part or the department »Financial Mathematics« aiming at leveraging emerging technologies to overcome future performance limits and unlock new applications, alongside HPC, advanced modeling, and machine learning.
Discover Fraunhofer ITWM's expertise
- Q-computing (hardware)
- Q-algorithms and software
- Infrastructure and facilities
- Applications and use cases
- Training, outreach and other
Q-computing (hardware)
GPU computing cluster
Q-algorithms and software
quantum computing stack compiler; quantum classical integration; quantum machine learning (QML) for anomaly detection; image processing; quantum simulation of molecules and asset prices;algorithms for multiobjective and robust optimization; benchmarking of algorithms; quantum architecture search
Infrastructure and facilities
benchmarking against classical algorithms; software testing platforms
Applications and use cases
chemistry; finance; energy; image processing; anomaly detection; logistics, materials simulation, seismology
Training, outreach and other
Winter school on quantum computing; workshops and seminars for Industry; industry training programs; Fraunhofer society networking events
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