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Schmidt quantum compressor

delete2025-05-02
delete0
PRE
AI
I
Israel F. Araujo *
H
Hyeondo Oh
N
Nayeli A. Rodríguez-Briones
D
Daniel K. Park *
DOI：10.1088/2058-9565/adcd99delete
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摘要

摘要

En 中文
本研究介绍了Schmidt量子压缩器，这是一种利用Schmidt分解原理高效编码量子信息的新型量子数据压缩方法。与传统依赖随机优化的变分量子自编码器不同，后者面临诸如shot noise（测量噪声）、barren plateaus（空平台）和非凸优化景观等挑战，本研究的确定性方法显著降低了量子数据压缩的复杂度和计算开销。我们通过数值实验评估了该压缩器的性能，证明其相较于变分量子算法，在量子态重构方面能够实现高保真度。此外，我们还展示了Schmidt量子压缩器在一类分类任务中的实际应用价值。
Keyword:
quantum computing
quantum data compression
quantum machine learning
quantum autoencoder
one-class classification

期刊

Quantum Science and Technology 封面图
Quantum Science and Technology
IF:
5
论文数:
1.4K
被引数:
5.1K

机构

U
Univ Calif Berkeley
学者数:
2.4K
论文数: 1.4K
被引数: 708
U
Univ Fed Pernambuco
学者数:
536
论文数: 207
被引数: 45
引用论文

引用论文

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errIEEE TRANSACTIONS ON COMPUTERS
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errde Veras, Tiago M. L.; de Araujo, Ismael C. S.; Park, K. Daniel; da silva, Adenilton J.
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