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在MNIST数据集上探索量子神经网络用于二元分类:一个交换测试方法

Kehan Chen1, Jiaqi Liu1, Fei Yan1

  • 1School of Computer Science and Technology, Changchun University of Science and Technology, Changchun 130022, China.

Neural networks : the official journal of the International Neural Network Society
|April 10, 2025
PubMed
概括

本研究介绍了一个模块化量子神经网络 (mQNN),用于MNIST数据集上的二进制图像分类. mQNN利用量子并行性进行高效的计算,展示了量子机器学习的潜力.

关键词:
二元分类二元分类二元分类.量子激活功能的量子激活函数量子神经网络是一个量子神经网络.交换测试 交换测试 交换测试

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McNemar's Test01:23

McNemar's Test

McNemar's Test is a nonparametric statistical test used to determine if there is a significant difference in proportions between two related groups when the outcome is binary (e.g., yes/no, success/failure). It is beneficial when we have paired data, such as pre-test/post-test designs, where the same subjects are measured under two different conditions. The test is named after the statistician Quinn McNemar, who introduced it in 1947. It is commonly used in situations where subjects are...
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