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with FPGA programming used in superconducting quantum circuit experiments. Model-Free Quantum Control via Reinforcement Learning: Reinforcement learning (RL) is an emerging approach for optimizing
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engineering. The work involves simulations for quantum error correction and mid-circuit operations, and will require both low-level optimization skills (e.g., SIMD, GPU, FPGA) and an understanding of quantum
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integrated circuits and system prototyping using FPGA (Field Programmable Gate Arrays) for the project described above. You will then develop new solutions on circuit and architecture level, design and
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