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Quantum algorithm for hyperparameters estimation
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DOI：10.1088/2058-9565/aba8ae.png)
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Abstract
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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.
Keywords:
quantum computing
quantum machine learning
quantum algorithm
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