高速和片上量子密钥分发的优化和应用方法数据集

本数据来源于针对高速和片上量子密钥分发的优化和应用方法的研究，主要包含机器学习在量子密钥分发和机器学习在量子数字签名中的资源优化配置理论仿真数据、量子密钥分发的相位调制稳定实验测试数据、对于实际QKD系统的安全性分析与验证数据相关数据。理论数据由仿真结果得出，实验数据由各成果相关仪器进行采集测试记录，数据采集地点为南京邮电大学量子信息与信号处理实验室。数据量约12.7MB。

This dataset is derived from research on optimization and application methods for high-speed and on-chip quantum key distribution (QKD). It mainly includes three categories of data: theoretical simulation data on resource optimization allocation for machine learning applications in both quantum key distribution (QKD) and quantum digital signature (QDS), experimental test data on phase modulation stability of QKD systems, as well as security analysis and verification data for practical QKD systems. The theoretical data is generated from simulation results, while the experimental data is collected and recorded by instruments relevant to the corresponding research achievements. All data was gathered at the Quantum Information and Signal Processing Laboratory of Nanjing University of Posts and Telecommunications. The total size of the dataset is approximately 12.7 MB.

搜集汇总

背景与挑战

背景概述

该数据集来源于高速和片上量子密钥分发的优化和应用方法研究，包含机器学习在量子密钥分发和量子数字签名中的资源优化配置理论仿真数据、量子密钥分发的相位调制稳定实验测试数据，以及实际QKD系统的安全性分析与验证数据。数据量约12.7MB，格式包括xlsx、csv、opju等。