Quantum autoencoder for image compression through reducing qubits usage

doi:10.1142/S0219749925500339

2025-11-01

PRE

Yuxing Wei

Hai-Sheng Li *

Cong Hu

DOI：10.1142/S0219749925500339

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摘要

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量子自编码器，作为一种量子机器学习算法，为图像压缩提供了重要的研究方向。本文提出了一种专门针对图像压缩的量子自编码器。我们首先使用特征映射将图像存储为量子态，并提出了一种新的参数化量子电路和一种预训练方法。预训练后，确定参考态并通过进一步训练更新电路参数。最后，我们实验验证了量子自编码器。对于重构的10量子比特图像，保真度达到0.98，SSIM达到0.927。对于重构的10量子比特含噪图像，PSNR提升了1.4dB。仿真结果表明，所提出的量子自编码器能够高效压缩量子图像，同时也具备去噪能力。

Keyword:

Quantum autoencoder

denoising

image compression

parameterized quantum circuit

期刊

International Journal of Quantum Information

IF:

0.8

论文数:

被引数:

1.3K

机构

Guangxi Normal University

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7.7K

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被引数: 5.1K

guilin university of electronic technology

学者数:

2.4K

论文数: 787

被引数: 0

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