Quantum image compression with autoencoders based on parameterized quantum circuits

The analysis and processing of digital images play a vital role in information processing. However, the pixel-based operations on images often lead to significant complexity as the image data grow rapidly. Encoding images into a quantum system and leveraging the principles of superposition and entan...

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Veröffentlicht in:	Quantum information processing Jg. 23; H. 2
Hauptverfasser:	Wang, Hengyan, Tan, Jing, Huang, Yixiao, Zheng, Wenqiang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 30.01.2024
Schlagworte:	Data Structures and Information Theory Mathematical Physics Physics Physics and Astronomy Quantum Computing Quantum Information Technology Quantum Physics Spintronics Quantum image compression Parameterized quantum circuit Quantum autoencoder
ISSN:	1573-1332, 1573-1332
Online-Zugang:	Volltext
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