Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Delft University of Technology (TU Delft)
- Nature Careers
- DTU Electro
- Forschungszentrum Jülich
- Institute for Basic Science
- Leiden University
- Luleå tekniska universitet
- Technical University Of Denmark
- University of Basel
- Uppsala universitet
- ;
- Aix-Marseille Université
- Ariel University
- CIC nanoGUNE
- Center for Theoretical Physics PAS
- City University of Hong Kong
- Curtin University
- DAAD
- Deutsches Elektronen-Synchrotron DESY
- Eindhoven University of Technology (TU/e)
- Friedrich Schiller University Jena •
- Institute of Materials Science of Barcelona (ICMAB-CSIC)
- KU LEUVEN
- Karlsruher Institut für Technologie (KIT)
- Leibniz
- Maynooth University
- NKT Photonics
- Politecnico di Torino
- RPTU University of Kaiserslautern-Landau •
- Simula UiB AS
- Technical University of Denmark
- Technical University of Munich
- The University of Manchester
- UCL
- Ulm University •
- University of Amsterdam (UvA)
- University of Groningen
- University of Luxembourg
- University of Nottingham
- University of Warwick
- Universität Hamburg •
- Vrije Universiteit Amsterdam (VU)
- 32 more »
- « less
-
Field
-
: About the QCE department: https://www.tudelft.nl/en/eemcs/the-faculty/departments/quantum-compute… About the QCAT group: https://www.tudelft.nl/en/eemcs/the-faculty/departments/quantum-compute… If you
-
carriers generated by high electric fields. This self-heating effect results in significant reduction in performance and lifetimes of the devices. On the other hand, the refrigeration of the entire systems
-
transistors to solve some of society’s most pressing computational challenges. Silicon-based approaches to quantum information processing offer advantages for scaling such as high qubit density, record qubit
-
Description The Cluster of Excellence “Quantum Universe” performs research to understand mass and gravity at the interface between quantum physics and cosmology. The research team includes leading
-
design scalable numerical methods for quantum master equations, implement high-performance simulations, and help build open-source tools for large-scale spin-system modeling. By improving our ability
-
collaboration, advanced training in computational and experimental materials science, and access to national and international high-performance computing and research infrastructure. PhD researchers will be
-
chemistry modelling techniques scientific machine learning high-performance computing molecular design, generative AI, database handling and analysis collaborative, project management, presentation and
-
variables directly. This simplification makes it a promising candidate for performing quantum computational fluid dynamics, and will be the primary focus of this project. Applicants should have a 1st or high
-
the Forschungsverbund Berlin (https://www.fv-berlin.de/ ) and the Leibniz Association www.leibniz-gemeinschaft.de . You can find more details on the institute webpage: www.ikz-berlin.de . The SiGe-based Quantum Materials
-
collective quantum phenomena to reach higher performance or lower dissipation (see, e.g., arXiv:2411.00944 ). Project details are available at: https://warsaw4phd.eu/en/candidates-2/research-projects/ in