Quantum Machine Learning (QML) is a field of research that combines the power of quantum computing with the principles of machine learning. It seeks to leverage the unique properties of quantum algorithms to develop more efficient and effective machine learning models. The goal is to use quantum computing to build more powerful algorithms that can tackle complex problems that are difficult to solve using traditional methods. QML also has potential applications in areas such as image recognition, natural language processing, and drug discovery.