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reconfiguration operation. Develop and evaluate fast and efficient scheduling algorithms for fast control and reconfiguration of the optical AI compute clusters. Realize a small-scale compute cluster lab testbed
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, enabling more efficient downstream metallurgical processing and improved metal circularity. Over recent decades, numerous sensing technologies have been developed for metal scrap characterization. Yet
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algorithms on a four qubit quantum processor, realized baseband control of single spins, and demonstrated entanglement between remote spin qubit registers using spin shuttling. As a PhD researcher, you will
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infrastructure? Join us to develop innovative photonic technologies that enable ultra-fast, energy-efficient, and highly scalable optical interconnects for next-generation AI compute clusters. Information