dataset for Repetitive Readout Enhanced by Machine Learning

For the paper titled "Repetitive Readout Enhanced by Machine Learning"The folder name corresponds to simulated NV photodynamic parameters training.mat includes data_plus (5000*8000), data_minus (2500*8000), data_zero (2500*8000), corresponding to 14N starting in +1 (dark state), -1 (bright state), 0 (bright state) state (+1 is the dark state) test.mat includes data_test (4000*8000), the first 1000 is |mI=-1>, second 1000 |mI=0> (2000 bright states), and last 2000 |mI=+1> state (dark state) These data are directly from Monte Carlo simulation and does not consider detection efficiency, which is added later by add_detection_efficiency following binomial distribution.