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This work developed an algorithmic framework for variational quantum kernels utilizing resource- efficient quantum kernels utilizing resource- efficient ansatze for complex classification tasks and introduced a parameter scaling technique to accelerate convergence.
Under the background of the energy transformation promoted by “double carbon”, the smart grid faces two major problems: renewable energy grid connection fluctuates large, and the load peak and valley difference are large.This paper takes the integration of smart grid and V2G technology as the research core, first sorts...
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