Learning Quantum machine learning is a great solutions to the problems of the world. These are the things you need to know about it shortly. The first is to understand Machine Learning which is subdivided into Supervised, unsupervised and reinforcement Learning. Supervised Learning mostly answer Yes/No. We have Generative learning as a subdivision of Unsupervised Learning. Now let's move to Classical Computer & Quantum Computer(it used to generate random numbers). We have three models under Classical Generative models. They are as follows:

1. Generated Adversial Networks (GAN)
2. Restricted Boltzmann Machine (RBM)
3. Variational Auto encoder (VA). Also, We have three models under Quantum Generative Models. They are as follows:
4. Quantum Generative Adversial Networks (QGAN)
5. Quantum Boltzmann Machine (QBM)
6. Circuit Born Machines (QCBM) Flipping a coin and using Glove experiment is a typical exam of Quantum Generative Model.