QML — It’s a complete new domain of research area which combines Principle of Quantum Computing and Machine Learning together. This is one of sub-group of Quantum computing. There will be series of blogs on QML starting from encoding mechanism to optimization. Not just limited to theory, there will be python code implementation as well. Qiskit will be the predominant library and here and there we will touch upon Pennylane and Cirq. So before continuing Quantum Computing, Machine learning and Deep Learning Algorithms, Qiskit, Pennylane will be considered as pre requisite. Image generated by napkin.ai One big question arises Why someone need QML ? There are some problems which cannot be solved classically, where quantum computing helps to achieve it with better performance. In some cases QML has given good results than classical machine learning. However QML is not as easy as ML, the difficulty starts with data encoding itself. One has to encode classical dataset into respective quantum ...