Quantum computing is seen as a new solution to algorithmic problems that are difficult to solve because of these advantages. Various studies using quantum computing models are also being conducted in the field of machine learning. Furthermore, since the optimization of quantum devices using the gradient descent method has been studied, It is possible to learn quantum machine learning using hyperparameters quickly.
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