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challenge: how to evolve classical communication networks to support both traditional data and the unique requirements of quantum information systems (https://www.classique.aau.dk). CLASSIQUE will address a
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of this PhD project is to develop machine learning algorithms that perform efficiently and coherently across both classical and quantum computing platforms. The PhD project falls under the collaboration between
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, computer science, and statistics The objective of this PhD project is to develop machine learning algorithms that perform efficiently and coherently across both classical and quantum computing platforms. The PhD
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dimensions offer a paradigm-shifting approach to photonic systems, enabling the study of high-dimensional lattices physics using low-dimensional photonic systems. Our research combining quantum physics and
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product design, process operation, environmental impact reduction, and safety assessment across a broad range of applications. The professorship is a part of the research center Applied Thermodynamics
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process and product design, process operation, environmental impact reduction, and safety assessment across a broad range of applications. The professorship is a part of the research center Applied