量子机器学习稳健性验证工具VeriQRobust程序源代码及实验数据

量子机器学习稳健性验证工具VeriQRobust数据集为开发量子机器学习模型稳健性验证算法过程中产生的程序源代码和数据，数据量在50MB左右。该数据集中的数据来自于训练好的量子机器学习模型；该数据集中的代码是已发表论文的实验代码。The VeriQRobust dataset, a robustness verification tool for quantum machine learning, consists of program source codes and data generated during the development of quantum machine learning model robustness verification algorithms, with a total size of approximately 50 MB. The data in this dataset is sourced from pre-trained quantum machine learning models, while the codes within the dataset are experimental codes from published papers.

搜集汇总

背景与挑战

背景概述

该数据集为量子机器学习稳健性验证工具VeriQRobust的程序源代码及实验数据，用于开发量子机器学习模型稳健性验证算法。数据来源于训练好的量子机器学习模型，代码为相关论文的实验代码，总数据量约50MB。