Quantum simulation
Development of quantum algorithms for the simulation of solid state physics and material science.
Physicist · Quantum Computing Researcher
Research at the intersection of quantum algorithms, hardware, and software.
DLR Institute of Software Technology
Google Scholar profile01 / Research
Development of quantum algorithms for the simulation of solid state physics and material science.
Combinatorial optimization, quantum annealing, and hybrid quantum–classical methods for near-term systems.
Error-aware methods that adapt quantum algorithms to the constraints and characteristics of real devices.
Software stacks, ecosystem design, benchmarking, and the interfaces connecting applications to quantum hardware.
Controlled decoherence, quantum stochastic walks, and the use of environmental effects as a computational resource.
02 / Current work
DLR Quantum Computing Initiative
Project leadership and hardware-near research
ALQU
ALQU addresses a central challenge of current NISQ systems: quantum algorithms must account for the properties, limitations, and errors of real hardware.
The work focuses on error-aware and hardware-specific compilation, bringing algorithm design and physical architectures into closer alignment.
03 / Selected publications
04 / Scholar
The Google Scholar profile aggregates publications, citation metrics, and co-authorships in one place.
It is updated automatically as new articles, preprints, and book chapters are indexed.
05 / Talks & outreach
QCI All Hands, Ulm
Invited Code for Thought podcast
DLR webinar · Quantum Computing Fundamentals
World Quantum Day, Hamburg
Lecture with Elisabeth Lobe · ELEVATE
Introductory talk with Michael Epping