Abstract: Neural Architecture Search (NAS), a promising and fast-moving research field, aims to automate the architectural design of Deep Neural Networks (DNNs) to achieve better performance on the ...
Abstract: In binary optimization problems, where the goal is to find the input $\boldsymbol {x}$ that minimizes a given objective function, Grover adaptive search (GAS) is a well-known quantum ...
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