Our research is supported by public funding agencies and industry partners. These collaborations connect disciplines and support the development of new methods and software. We thank our funding agencies and partners for making this work possible.
A distinguished professorship supporting the chair’s research in design automation.
Funded by Bayerisches Staatsministerium für Wissenschaft und Kunst
Project details
Name: Bayerische Spitzenprofessur Duration: March 2022 – February 2027 Funding: approx. 5 Million Euro Provided by: Bayerisches Staatsministerium für Wissenschaft und Kunst
With the Spitzenprofessurenprogramm (SPP) as part of the Hightech Agenda Bayern, the Bavarian Ministry of Science promotes research at the highest level. A successful appointment within the framework of the program at a state Bavarian university is endowed with up to five million euros over a period of five years, in addition to the personnel position. This creates excellent conditions for top-level research by distinguished experts from Germany and abroad. The Chair for Design Automation is the first to be supported with this funding.
Microfluidic simulation tools for designing sustainable food emulsions with plant-based proteins.
Funded by German Federal Ministry of Research, Technology and Space
Project details
Name: MiProDesign Duration: April 2026 – September 2028 Funding (for the chair): approx. 254k Euro Provided by: German Federal Ministry of Research, Technology and Space
MiProDesign aims to introduce new automated microfluidic technology as a validated design framework for the accelerated development of sustainable food emulsions with plant-based proteins. Within the project, we develop computationally efficient, user-friendly simulation tools for predicting emulsion formation and stability across a wide parameter space. These tools enable rapid design exploration of microfluidic chips for scalable emulsion production, reducing development time and supporting the transition to sustainable food manufacturing. This project is part of the programme of FutureFoodS, co-funded by the European Union’s Horizon Europe research and innovation programme under Grant Agreement No. 101136361.
Hybrid quantum-classical algorithms and software for industrial applications in optimization and machine learning.
Funded by Austrian Research Promotion Agency (FFG) together with the states of Upper Austria and Tyrol
Project details
Name: Quantum Algorithm Engineering: Bridging the Gap to Industrial Applications Duration: January 2026 – December 2029 Funding (collaboration with Chair of Computer Architecture and Parallel Systems): approx. 200k Euro Provided by: Austrian Research Promotion Agency (FFG) together with the states of Upper Austria and Tyrol
The COMET module “Quantum Algorithm Engineering” (QAE) bridges the gap between low-level quantum software and practical industry applications. We connect businesses with quantum technology by matching real-world problems to tailored quantum algorithms, specifically in combinatorial optimization and machine learning. By developing hybrid quantum-classical systems and accessible software environments, we equip companies with the tools needed to turn quantum platform capabilities into practical, real-world utilization.
An open-source quantum-computing stack with a unified reference architecture and interoperable software layers.
Funded by German Federal Ministry of Research, Technology and Space
Project details
Name: FullStaQD Duration: December 2025 – May 2029 Funding (for the chair): approx. 1.2M Euro Provided by: German Federal Ministry of Research, Technology and Space
FullStaQD aims to build a sovereign, open‑source quantum‑computing full stack for Germany by developing a unified reference architecture that ensures interoperability across all software layers and supports diverse industrial applications. It brings together an interdisciplinary consortium to strengthen the national quantum‑computing ecosystem, reduce dependence on non‑European providers, and enhance long‑term technological competitiveness.
Compilation software and application benchmarks connecting quantum circuits with control schedules for trapped-ion devices.
Funded by German Research Foundation (DFG) via the Priority Programme 2514
Project details
Name: ComfortQC Duration: October 2025 – September 2028 Funding (for the chair): approx. 320k Euro Provided by: German Research Foundation (DFG) via the Priority Programme 2514
ComfortQC develops compilation software for scalable trapped-ion quantum computers, seeking to bridge the gap between hardware-agnostic quantum circuits and efficient device-level control schedules. Combined with application-level benchmarks, these methods help evaluate hardware choices and guide architectural design.
Compilation techniques for dynamical decoupling and decoherence-free subspaces to support quantum error mitigation.
Funded by German Federal Ministry of Research, Technology and Space
Project details
Name: SYNQ Duration: October 2025 – September 2028 Funding (for the chair): approx. 730k Euro Provided by: German Federal Ministry of Research, Technology and Space
SYNQ aims to bring NISQ quantum processors closer to application-relevant problems through experimentally validated error-mitigation methods. Within the project, we focus on both novel and optimized compilation techniques for dynamical decoupling and decoherence-free subspaces.
Automated synthesis and compilation methods for scalable, fault-tolerant quantum computing.
Funded by German Research Foundation (DFG) via the Priority Programme 2514
Project details
Name: Towards Software for Fault Tolerant Quantum Computing Duration: October 2025 - October 2028 Funding (for the chair): approx. 326k Euro Provided by: German Research Foundation (DFG) via the Priority Programme 2514
As part of the DFG Priority Programme (Schwerpunktprogramm) 2514, this project closes a critical gap in the quantum software stack: most current compilation and synthesis methods ignore error correction and fault tolerance entirely, leaving fault-tolerant circuits to be built by hand. Together with our partners at FU Berlin and RWTH Aachen/FZ Jülich, we develop automated methods for synthesis and compilation, working toward a comprehensive design automation framework for scalable fault-tolerant quantum computation.
Investigating how generative AI can accelerate chip design, improve performance, and reduce costs.
Funded by Sony Research
Project details
Name: Generative AI for Chip Design Duration: 2024–2026 Funding (for the chair): approx. 115k Euro Provided by: Sony Research
Sony AI and our chair are collaborating to explore the revolutionary potential of generative AI in chip design. Generative AI promises to transform the semiconductor industry by accelerating design cycles, enhancing performance, and reducing costs. This project aims to investigate these possibilities and lay the groundwork for future, larger joint initiatives.
Courses and practical projects strengthening microelectronics education and chip-design skills in Europe.
Funded by European Union
Project details
Name: Edu4Chip Duration: 2023–2027 Funding (for the chair): approx. 53k Euro Provided by: European Union
Edu4Chip enhances microelectronics education to address the chip shortage crisis. The project develops courses for chip design, offering theoretical and practical training, including hands-on projects. By doing so, it aims to build a strong foundation for Europe’s semiconductor plans.
New methods for simulating, compiling, and verifying quantum circuits.
Funded by European Research Council
Project details
Name: Design Automation for Quantum Computing Duration: July 2021 – June 2027 Funding: approx. 2 Million Euro Provided by: European Research Council
The European Research Council (ERC) funds pioneering research across all disciplines, aiming to support innovative and high-risk projects with the potential to drive major scientific breakthroughs. Our ERC-funded project aims to develop novel methods for the simulation, compilation, and verification of quantum circuits, bridging the gap between the design automation and quantum computing communities. This way, we contribute to a stronger foundation for future advancements in quantum computing technology.
In addition to the projects summarized above, we are also involved in several further initiatives. These include collaborations with Infineon Technologies, Fujitsu, and others. We are also involved in the MQSC.
Quantum software connecting platform providers and end users within Bavaria’s quantum-computing initiative.
Funded by Bayerische Staatsregierung
Project details
Name: Munich Quantum Valley Duration: October 2021 – September 2026 Funding (for the chair): approx. 1.4 Million Euro Provided by: Bayerische Staatsregierung
The Munich Quantum Valley (MQV) is a Bavarian initiative that unites over 400 researchers with the primary goal of developing and operating competitive quantum computers. Funded by the Bavarian state government through the Hightech Agenda Bayern, our chair plays a leading role in this initiative. We focus on software development and establishing connections with platform providers and end users of quantum computing.
Compilation methods and HPC integration for a scalable trapped-ion quantum computer with up to 1,000 qubits.
Funded by European Union
Project details
Name: MILLENION Duration: March 2023 – August 2026 Funding (for the chair): approx. 730k Euro Provided by: European Union
MILLENION is a European partnership of 14 organizations to build and commercialize a scalable trapped-ion quantum computer with up to 1,000 qubits. Within the project, we develop new compilation methods and their integration into an HPC infrastructure to support the developed hardware.
Simulation and compilation for mixed-dimensional quantum systems based on qudits.
Funded by European Union
Project details
Name: NeQST Duration: 2022–2025 Funding (for the chair): approx. 560k Euro Provided by: European Union
NeQST’s vision is to leverage advances in mixed-dimensional quantum systems (i.e., systems based on qudits). This includes developing a qudit platform, automated design tools, certification methods, and practical applications. We focus on simulation and compilation for those systems.
Software for compiling, executing, and evaluating quantum algorithms for complex optimization problems.
Funded by Bundesministerium für Wirtschaft und Klimaschutz
Project details
Name: QuaST Duration: January 2022 – December 2024 Funding (for the chair): approx. 280k Euro Provided by: Bundesministerium für Wirtschaft und Klimaschutz
QuaST aims to provide users with the necessary software to solve complex optimization problems on current and future quantum computers. The project focuses on comprehensive software support for compiling, executing, and evaluating quantum algorithms.
