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, architectures, and algorithms. Specifically, we investigate energy-efficient computer architecture for machine learning based on novel devices and computing principles, device-aware machine learning algorithms
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of concepts from quantum information to quantum materials; algorithmic aspects of quantum computing; topological aspects of magnetism; connections between condensed matter and high-energy physics
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and developing/improving the algorithm for estimating radiative fluxes and heating rates. The candidate will also conduct observational analysis to diagnose physical processes of cloud, precipitation
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novel algorithms of model predictive control (MPC) for both linear and nonlinear systems and applying them to vehicle control, including self-driving cars, drones, and wheelchairs. Active scholars who