Numerical dataset for quantum trajectory simulations of a dissipative qubit under continuous measurement and feedback

The data consist of numerical results obtained from quantum trajectory simulations of a dissipative qubit under continuous measurement and feedback. These data are used in the preprint titled "Heat current and fluctuations between a dissipative qubit and a monitor under continuous measurement and feedback." We performed numerical simulations of the stochastic master equation using the supercomputer at ISSP. The contents are as follows: Numerical results for the correlation functions (F*.dat). Numerical results for the Fano factor and the power spectrum (fano_factor*.dat). Python code to calculate the Fano factor and the power spectrum from the correlation functions (fano_factor_v6.py). Figures illustrating the Fano factor and the power spectrum (fig*.eps).本数据集包含对连续测量与反馈下的耗散量子比特（dissipative qubit）开展量子轨迹模拟（quantum trajectory simulation）所得到的数值结果。 这些数据已应用于题为《Heat current and fluctuations between a dissipative qubit and a monitor under continuous measurement and feedback》的预印本研究中。 本次研究依托ISSP的超级计算机，完成了随机主方程（stochastic master equation）的数值模拟工作。 数据集内容如下： 1. 关联函数的数值结果（文件命名格式为F*.dat） 2. 法诺因子（Fano factor）与功率谱的数值结果（文件命名格式为fano_factor*.dat） 3. 用于从关联函数中计算法诺因子与功率谱的Python代码（文件名为fano_factor_v6.py） 4. 用于展示法诺因子与功率谱的图像文件（文件命名格式为fig*.eps）