General Vapnik–Chervonenkis dimension bounds for quantum circuit learning

Quantifying the model complexity of quantum circuits provides a guide to avoid overfitting in quantum machine learning. Previously we established a Vapnik–Chervonenkis (VC) dimension upper bound for ‘encoding-first’ quantum circuits, where the input layer is the first layer of the circuit. In this w...

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書誌詳細

出版年:	Journal of Physics: Complexity
主要な著者:	Chih-Chieh Chen, Masaru Sogabe, Kodai Shiba, Katsuyoshi Sakamoto, Tomah Sogabe
フォーマット:	論文
言語:	英語
出版事項:	IOP Publishing 2022-01-01
主題:	machine learning quantum circuit VC dimension
オンライン･アクセス:	https://doi.org/10.1088/2632-072X/ac9f9b