Werner Dobrautz

Dr. Werner Dobrautz is a quantum chemist and computational physicist who leads the DRESDEN-concept Research Group "AI4Quantum" since 2024. The group is jointly hosted by the Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI) at TU Dresden and the Center for Advanced Systems Understanding (CASUS) at Helmholtz-Zentrum Dresden-Rossendorf (HZDR). His research integrates quantum computing, machine learning, and high-performance computing to address challenges in chemistry and physics, such as bio-catalysis for ammonia production and unconventional superconductivity.

• Education: PhD in Theoretical Quantum Chemistry (University of Stuttgart, 2019), Master of Science in Technical Physics (Graz University of Technology, 2014)

Dr. Dobrautz specializes in developing computational methods like transcorrelation and quantum algorithms to simulate complex systems, particularly focusing onstrongly correlated electron systems andnoise-resilient quantum chemistry. His work aims to breakthrough the "exponential wall" in computational resource scaling.

Scientific Awards:

• Marie Skłodowska-Curie Postdoctoral Fellowship (€223,000, 2022)
• Vinnova Fellowship (€44,000, 2024)

He has contributed to quantum computing initiatives likeOpenSuperQPlus andNordIQuEst, and his software expertise spans NECI, Qiskit, OpenMolcas, and machine learning frameworks like TensorFlow.