相关实验视频

Updated: Jan 25, 2026

A Photonic System for Generating Unconditional Polarization-Entangled Photons Based on Multiple Quantum Interference
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A Photonic System for Generating Unconditional Polarization-Entangled Photons Based on Multiple Quantum Interference

Published on: September 5, 2019

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旋转等值量子图神经网络具有可训练的压缩编码器和纠增强聚合

Wenjie Liu1, Bohan Du2, Weiwei Liu3

  • 1School of Software, Nanjing University of Information Science and Technology, Nanjing, Jiangsu, 210044, China; Jiangsu Province Engineering Research Center of Advanced Computing and Intelligent Services, Nanjing University of Information Science and Technology, Nanjing, Jiangsu, 210044, China; Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET), Nanjing University of Information Science and Technology, Nanjing, Jiangsu, 210044, China.

Neural networks : the official journal of the International Neural Network Society
|January 23, 2026
PubMed
概括

一个新的旋转等价量子图神经网络 (REQGNN) 在图形分类和回归任务中实现了卓越的性能. 这种模型通过结合旋转等差和减少量子比特需求,通过新型压缩编码器和纠增强聚合来增强概括性.

关键词:
由纠增强的聚合.同等变量量子门集量子自动编码器是一个量子自动编码器.量子图形神经网络是一个量子图形神经网络.可训练的压缩编码器

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