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.

中文翻译：

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超参数估计的量子算法

超参数在机器学习算法（例如线性回归和支持向量机）中扮演重要角色。在本文中，我们提出了一种量子超参数估计（QHE）算法，并设计了相应的量子电路来有效地完成HE。然后，我们分析了整个算法的复杂度，概率和保真度。最后，我们在ibmqx4量子处理器上部署了一个小型QHE电路的数值模拟。重要的是，我们的算法和电路可能会激发安全量子机器学习领域的新研究。