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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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this project, we will develop neural diffusion techniques to design materials with targeted optical properties, scaling to large systems through efficient representations and GPU parallelization. We will also
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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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. This is enabled by an ambitious farm based infrastructure with large scale measurement of methane emissions and feed intake on individual cows, as well as collaborations with industry and international