Prediction of Quantum Probability using NeuralNetwork

Abstract

In this thesis, I have used a machine-learning algorithm to predict the quantum probability of photon transmission from the polarizers. In this regard, I used a neural network model and trained it with the training data. To evaluate the performance of the model, testing data was used to check the accuracy of the model. I compared my results with another machine learning technique used to get the same results.