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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.
Bestehende Forschungsprojekte
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.
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.
Projektleitung: Giovanna Morigi
Förderer: QuantERA, Horizon 2020
Das Ziel des Projekts QNet ist es, neue Konzepte und Methoden zur Manipulation von Quanteninformation zu entwickeln, bei denen Rauschen und Dissipation nicht als Störfaktoren, sondern als Ressource für eine fehlertolerante Quanteninformationsverarbeitung auf mesoskopischer Ebene genutzt werden. Im Mittelpunkt steht die Untersuchung der Nichtgleichgewichtsdynamik von Quantennetzwerken mit Fernwechselwirkungen unter kontrollierten Rausch- und Dissipationsbedingungen. Ein besonderer Fokus liegt auf Anwendungen wie assoziativen Quantenspeichern und dem Quanten-Reservoir-Computing.
Die entwickelten Proof-of-Principle-Konzepte werden auf modernen experimentellen Plattformen getestet. Dazu zählen (i) ultrakalte Atome in einem Hochfinesse-Resonator mit einstellbarer Temperatur, Rauschen und Dissipation sowie (ii) supraleitende Quantenschaltungen, die an mesoskopische Wärmebäder auf dem Chip gekoppelt sind. Die im Projekt erarbeitete Toolbox an Konzepten und Paradigmen ebnet den Weg für die nächste Generation von Quantentechnologien.
The Center for Quantum Technologies (QuTe) is supported by the Transformation Program Research and Knowledge Transfer Saar.