Quantum Chemistry Lead in Großmehring

As Team Lead for Quantum Chemistry Algorithms, you will build and lead a team focused on developing advanced gate-based quantum algorithms for quantum chemistry and correlated materials. This is a highly influential position, sitting at the intersection of quantum algorithms, hardware development, software, and real-world industrial applications.You will set the technical direction for the team, translating advanced theoretical approaches into practical, resource-estimated algorithms and working closely with hardware specialists to understand how architectural decisions impact end-to-end application performance.Key ResponsibilitiesBuild, lead and develop a team of quantum chemistry and quantum algorithm scientists.Take ownership of the technical roadmap for gate-based quantum algorithms across quantum chemistry and correlated electronic materials.Design, analyse and benchmark advanced fault-tolerant quantum algorithms for application-relevant problems.Develop algorithms based on approaches including block encoding, qubitization, quantum signal processing and related fault-tolerant techniques.Conduct end-to-end quantum resource estimation, translating theoretical algorithms into realistic computational costs under practical error-correction assumptions.Drive close collaboration between algorithm, hardware and architecture teams to ensure effective hardware-software co-design.Identify how hardware architecture and platform capabilities can influence algorithm performance and application feasibility.RequirementsPhD in Physics, Computer Science, Applied Mathematics, Theoretical Chemistry, or a closely related discipline.Several years of post-PhD experience working in quantum computing, either within academia or industry.Strong experience in the development and analysis of quantum algorithms.Proven experience leading and developing a research team or group, including people management and mentoring responsibilities.Deep expertise in fault-tolerant quantum algorithms for quantum chemistry and materials applications.Strong knowledge of techniques including block encodings, qubitization, quantum signal processing and quantum singular value transformation.Hands‑on experience in quantum resource estimation and algorithmic cost analysis, particularly under realistic error‑correction assumptions.The ability to think end‑to‑end about the relationship between algorithm design, hardware capabilities and real-world application value #J-18808-Ljbffr