  In recent years, Quantum Computing witnessed massive improvements in terms of
available resources and algorithms development. The ability to harness quantum
phenomena to solve computational problems is a long-standing dream that has
drawn the scientific community's interest since the late 80s. In such a
context, we propose our contribution. First, we introduce basic concepts
related to quantum computations, and then we explain the core functionalities
of technologies that implement the Gate Model and Adiabatic Quantum Computing
paradigms. Finally, we gather, compare and analyze the current state-of-the-art
concerning Quantum Perceptrons and Quantum Neural Networks implementations.
