Deep quanvolutional neural networks with enhanced trainability and gradient propagation

Abstract In this paper, we explore methods to enhance the performance of one of the frequently used variants of Quantum Convolutional Neural Networks, known as Quanvolutional Neural Networks (QuNNs) by introducing trainable quanvolutional layers and addressing the challenges associated with training...

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Bibliografiska uppgifter

Huvudupphov:	Muhammad Kashif, Muhammad Shafique
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	Nature Portfolio 2025-07-01
Serie:	Scientific Reports
Ämnen:	Quantum neural networks Residual learning Trainability Deep learning
Länkar:	https://doi.org/10.1038/s41598-025-06035-4
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