Quantum Software

Quantum information theory is an interdisciplinary field at the interface between theoretical Physics, Mathematics, and Computer Science. One of its main goals is to understand and describe mathematically precisely the transmission and processing of information in the quantum age. Another important goal is to develop algorithms and software for quantum computers and to identify promising applications with quantum advantages, not least in comparison and interaction between quantum and classical algorithms. The description, management, and security of quantum data already generated by quantum sensors and quantum computers, as well as quantum artificial intelligence (quantum AI), are also highly topical research topics in this context. Current research at QuTe is breaking new scientific ground, and QuTe members benefit from the unique, interdisciplinary expertise in Mathematics, Computer Science, and theoretical Physics at QuTe, as well as close collaboration with researchers at the Helmholtz Research Center Jülich.

Ein schematisches Diagramm eines mehrzeiligen Quanten­schaltkreises mit mehreren Qubit-Leitungen. Auf den Leitungen befinden sich rotierende Einzelqubit-Gatter wie Rₓ und R_z sowie zahlreiche kontrollierte Operationen, dargestellt durch Kontrollpunkte und XOR-Symbole. Die Struktur zeigt eine Abfolge von Quantenoperationen, die zusammen einen komplexen Algorithmus oder eine Quantum‑Software‑Routine repräsentieren.
© Peter P. Orth

Bestehende Forschungsprojekte

QIAPO - Quantum-informed approximate optimization on NISQ and partially fault-tolerant quantum computers

Project lead: Markus Bläser, Peter P. Orth

Funding: Federal Ministry of Research, Technology, and Space (BMFTR)

The QIAPO project is investigating how quantum computers can help solve difficult planning and optimization tasks in industry and business faster and better. To this end, researchers are combining classical computers with quantum computers, which can simplify certain subtasks particularly efficiently. The goal is to develop processes that help companies such as BMW and Infineon save resources and plan processes more efficiently. Even small improvements can have a big impact in industry.

More information on QIAPO

QUBE - Quantum algorithm development, benchmarking, and resource estimation for material simulation with user benefits on NISQ quantum computers

Project lead: Peter P. Orth

Funding: Federal Ministry of Research, Technology, and Space (BMFTR)

The QUBE project is investigating how quantum computers can help develop new materials faster and better—for example, for batteries, fuel cells, or electric motors. To this end, special quantum algorithms are being developed and tested that can calculate the quantum physical properties of materials more realistically than today's supercomputers.

If successful, researchers will in future be able to tailor materials on the computer, which would bring enormous benefits for energy technology, mobility, and climate protection.

More information on QUBE

The Center for Quantum Technologies (QuTe) is supported by the Transformation Program Research and Knowledge Transfer Saar.