A Leap among Quantum Computing and Quantum Neural Networks: A Survey
It serves as an incremental resource for researchers and practitioners interested in understanding advancements in quantum computing and neural networks.
This survey paper tackles the problem of summarizing and analyzing the current state-of-the-art in quantum computing and quantum neural networks, providing a comparative overview of technologies and implementations.
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.