12 quantum-computing-"https:"-"https:"-"https:" uni jobs at Chalmers University of Technology
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Computer at Chalmers (QC2) group which is part of Wallenberg Centre for Quantum Technology (WACQT), a long-term initiative aimed at advancing Swedish quantum technology. You will be part of large team
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Are you excited about pioneering experimental quantum computing? Do you want to be part of a world-class research environment developing the next generation of superconducting quantum processors? We
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contribute to exciting research in scaling up quantum computers in a collaborative and dynamic environment. About us The Department of Microtechnology and Nanoscience advances the frontiers in quantum
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Do you want to learn how to do machine learning on a real quantum computer, with application to real problems from Life Science? About us The Wallenberg Centre for Quantum Technology (WACQT ) is a
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of Microtechnology and Nanoscience. Join our innovative theory team and contribute to exciting research in scaling up quantum computers and other quantum technologies in a collaborative and dynamic environment. About
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initiative started in 2018 with the purpose of advancing Swedish academia and industry to the forefront of quantum technology, and to build a Swedish quantum computer). For the research on quantum optics with
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new ways of processing information - far beyond the limits of classical systems. Our research spans quantum computing, sensing, transduction, thermodynamics, and foundations, all aimed at harnessing
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information science, microwave quantum optics, and mechanical quantum devices. We are also part of the Wallenberg Centre for Quantum Technology (WACQT) , a 12-year initiative to advance Swedish academia and industry
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of advancing Swedish academia and industry to the forefront of quantum technology, and to build a Swedish quantum computer. The student contributes to this project to explore fundamental and applied questions in
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modeling strategies for multiphase flow systems. The PhD topic is on exploring how emerging quantum computing methods can be integrated with classical numerical models to improve the simulation of complex