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on addressing fundamental and technical challenges in measurement-based quantum computing using continuous-variable cluster states with a three-dimensional entanglement structure. The successful candidate will
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continuous-variable quantum computing using 3D cluster states and hybrid (photon number + quadrature) detection. TopQC2X (Innovation Fund Denmark): Experimental primitives for topological quantum computing
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Python and Pytorch as well as deployment on GPU clusters. A strong publication record in graph neural networks, geometric deep learning, representation learning, machine learning–based molecular/materials
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responsibility. Research environment The candidate will be integrated in the section SDU Robotics, which is at the core of the Odense Robotics Cluster involving Universal Robots, Mobile Industrial Robots (MIR
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the AU Flakkebjerg campus in newly renovated offices with well-developed research infrastructure, laboratories, equipment, and highperforming computing clusters. Place of work The place of work is C.F
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is part of the Maersk Mc-Kinney Moller Institute , University of Southern Denmark (SDU), and located at the main Campus in Odense, at the core of the Odense Robotics Cluster involving 120+ startups