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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Veröffentlicht in:	Physical review research Jg. 6; H. 1; S. 013295
Hauptverfasser:	García-Martín, Diego, Larocca, Martín, Cerezo, M.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States American Physical Society (APS) 18.03.2024 American Physical Society
Schlagworte:	machine learning MATHEMATICS AND COMPUTING quantum algorithms & computation quantum information processing quantum information theory quantum metrology quantum parameter estimation
ISSN:	2643-1564, 2643-1564
Online-Zugang:	Volltext
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