Generative Quantum Machine Learning

An approach combining quantum computing with generative machine learning, using the high-dimensional representation of quantum states in Hilbert space and the properties of quantum entanglement to model complex probability distributions for data generation and augmentation, serving as a source of synthetic data for classical classifiers.