Effects of noise on the overparametrization of quantum neural networks

Overparametrization is one of the most surprising and notorious phenomena in machine learning. Recently, there have been several efforts to study if, and how, quantum neural networks (QNNs) acting in the absence of hardware noise can be overparametrized. In particular, it has been proposed that a QN...

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Vydané v:	Physical review research Ročník 6; číslo 1; s. 013295
Hlavní autori:	García-Martín, Diego, Larocca, Martín, Cerezo, M.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States American Physical Society (APS) 18.03.2024 American Physical Society
Predmet:	machine learning MATHEMATICS AND COMPUTING quantum algorithms & computation quantum information processing quantum information theory quantum metrology quantum parameter estimation
ISSN:	2643-1564, 2643-1564
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