Quantum computing models for artificial neural networks

Neural networks are computing models that have been leading progress in Machine Learning (ML) and Artificial Intelligence (AI) applications. In parallel, the first small-scale quantum computing devices have become available in recent years, paving the way for the development of a new paradigm in information processing. Here we give an overview of the most recent proposals aimed at bringing together these ongoing revolutions, and particularly at implementing the key functionalities of artificial neural networks on quantum architectures. We highlight the exciting perspectives in this context, and discuss the potential role of near-term quantum hardware in the quest for quantum machine learning advantage. Copyright (C) 2021 EPLA

Automated summary

The article highlights the significance of neural networks in ML and AI applications, as well as the potential of recent developments in quantum computing devices. The combination of these two fields will pave the way for a new information processing paradigm and the implementation of key functionalities of artificial neural networks on quantum architectures.