Facial emotion recognition (FER) is also an essential part of human and machine interaction. People can use it to keep track of everything from mood improvement to their mental health. Traditional FER systems rely heavily on traditional machine learning and deep learning techniques. These methods can be computationally intensive, particularly when operating over a large amount of data. Quantum computing, of which this is one example of using quantum mechanics, is a way to make calculations in these sorts of problems more accurate and therefore useful. In this paper, we consider FER and introduce the concept of quantum computing in FER, as well as discuss improved quantum algorithm for optimization, class/ function determination. It is our hope that this work will make significant improvements in overall performance, benefiting from