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interests of the group are in the areas of combinatorial optimization, efficient algorithms, approximation algorithms, optimization under uncertainty such as online, stochastic, or robust optimization, and
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Neural Quantum States, deep learning approaches to design quantum computing (QC) algorithms, and AI and ML techniques to improve state-of-the-art quantum Monte Carlo methods. The main work location is
Searches related to evolutionary algorithm
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