Quantum Machine Learning is a novel area of interdisciplinary research, merging Quantum Mechanics and Artificial Intelligence (AI), moving towards the Machine Learning (ML) in super-fast response paces with massive amount of data. The aim is to use the advantages of Quantum Physics theory to improve Classical Machine Learning (CML) e.g, by developing efficient implementations of complicated classical algorithms/quantum algorithms using Quantum Computing (QC). Quantum Machine Learning (QML) met high expectations of bringing a solution to the analysis of large volumes of data using the power of QC such as parallelism, superposition and entanglement. Moreover, the new generation of wireless communication B5G/6G will be the combination of utmost transmission capabilities and AI enabled by Quantum Computing technologies.