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convection. The objective is to develop reduced but realistic models of cumulus life cycles that may be applied toward cumulus parameterization and/or machine-learning algorithms for predicting short-term
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with quantum gates, algorithms, and measurement-based photonic quantum computing. • Familiarity with quantum optics simulation frameworks (QuTiP, Strawberry Fields, etc.). • Track record of mentoring
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to superconducting quantum circuits, circuit QED, quantum error correction, microwave quantum optics, variational quantum algorithms, and the application of machine learning to quantum systems. As a member of the
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