Quantum Computing

Knowledge transfer and networking are a key factor for the success of quantum technologies. We focus on the value of communication and collaboration and contribute to the development of expertise and competitiveness in the region.

The symposium Machine Learning to Advance Quantum Technologies will take place on July 7 and 8 2025 at experimenta Heilbronn. 

As part of the "Competence Center Quantum Computing Baden-Württemberg" (KQCBW), the first IBM quantum computer on German ground was set up in Ehningen near Stuttgart. Together with Fraunhofer IAF, Fraunhofer IAO takes over its coordination as well as the contact to local companies.

The Fraunhofer Heilbronn Research and Innovation Center for applied Quantum AI does not view artificial intelligence (AI) and quantum computing (QC) in isolation, but rather as complementary technologies with potential. The targeted combination of these areas creates new opportunities for research, business and society.

The office of the Quantum^BW innovation initiative serves as a central point of contact for the networks in the academic and applied quantum technology sector in order to bundle and strengthen them and make them more visible internationally. The Fraunhofer IAO manages the office together with the Fraunhofer IAF and the Center for Integrated Quantum Science and Technology IQST at the University of Stuttgart and the University of Ulm.

The main goal of the collaborative research project SEQUOIA End-to-End is to make today's bottlenecks in the entire quantum software development process transparent and to research and provide performant, automated and controllable end-to-end solutions for industrial use cases through holistic quantum software engineering. The activities build on the results of the completed SEQUOIA project.

This preliminary project aims to develop a comprehensive innovation concept for the seamless integration of the various layers of the quantum computing software stack, from hardware to application, from firmware to industry. It provides the basis for the lead project "QC Next". 

The AutoQML project aims to both solve the challenges of current AutoML approaches and to adapt the successful approach of AutoML. Future users should thus have easier access to QML methods.