Variational Quantum Algorithm (VQA) is a kind of quantum algorithm corresponding to classical machine learning. Unlike the square speed up of Grover's algorithm, the circuit in VQA does not seem to guarantee being faster than classical machine learning. So, is VQA faster than classical machine learning? If not, why is there a lot of research in this field?
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