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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Bibliographic Details

Published in:	Physical review research Vol. 6; no. 1; p. 013295
Main Authors:	García-Martín, Diego, Larocca, Martín, Cerezo, M.
Format:	Journal Article
Language:	English
Published:	United States American Physical Society (APS) 18.03.2024 American Physical Society
Subjects:	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 Access:	Get full text
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