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architectures, as well as participation in tape-outs for custom integrated circuits. 3) In-hardware learning: More broadly than the above topics, our team seeks to build electronic hardware to support and
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quantum computers operate at very low temperatures, well below 4K, to preserve the essential properties of quantum states. The use of conventional electronic circuits at cryogenic temperatures, in close
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and modeling of electronic and optical devices Develop hardware-aware machine learning models incorporating electronic and optical device constraints Design and implement hardware-efficient training
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