Both quantum technologies and machine learning are rising and combinedly they can have a revolutionary acceleration in various application areas. However, the machine learning process is quite different than the ordinary computational process, where tasks modification happens and represents the problems in multi-dimensional state space. Quantum technologies work with the principle of quantum physics. The use of quantum technologies can enhance the potential of the learning process. However, quantum computing has the capability to solve vector problems in less time. In this chapter we are exploring the advantages of amalgamation of quantum technologies and machine learning and their positive importance on learning speed of the model.