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will be validated through scaled hardware‑in‑the‑loop (HIL) laboratory experiments. Collaboration within the FME SOLAR consortium is an integral part of the position. Required qualifications Master’s
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control and optimization strategies, including reinforcement learning (RL) and optimal control approaches for state preparation and measurement protocol design under hardware constraints. Develop open
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to the theoretical development, numerical simulation, and potential hardware-mapping of these oscillator-based systems, exploring concepts like quantum annealing, symmetry breaking, and reservoir computing
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to the theoretical development, numerical simulation, and potential hardware-mapping of these oscillator-based systems, exploring concepts like quantum annealing, symmetry breaking, and reservoir computing