Hyperparameters play an important role in machine learning algorithms, such as linear regression and support vector machines. In this paper, we present a quantum hyperparameters estimation (QHE) algorithm and design the corresponding quantum circuit to accomplish HE effectively. Then we analyze the complexity, probability, and fidelity of the whole algorithm. Finally, we deploy a numerical simulation of a small-scale QHE circuit on the ibmqx4 quantum processor. Importantly, our algorithm and circuit may inspire new investigations in the field of secure quantum machine learning.
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Huang et al. (2020) studied this question.
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