Selection of quantum computing architecture using a decision tree approach

Richard Feynman proposed the idea of quantum computing for the first time in 1982 (R. P. Feynman, 1982) [1]. In the last few years, various industries have started accepting quantum solutions to their business problems. Universal quantum computers are being built by Industry tech giants to solve problems in business, engineering, and science. A variety of quantum software projects are being developed using different quantum devices, algorithms, frameworks, and quantum programming languages. To correctly identify the problems that show promise for quantum advantage, to develop proof-of-concept implementations of quantum solutions, and to actually develop software implementing these solutions is a challenging feat. This paper helps ease the decision-making process in choosing the right software architecture based on the type of the quantum project.