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A Leap among Quantum Computing and Quantum Neural Networks: A Survey

Fabio Valerio Massoli, Lucia Vadicamo, Giuseppe Amato, Fabrizio Falchi

2022ACM Computing Surveys53 citationsDOIOpen Access PDF

Abstract

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.

Topics & Concepts

Computer scienceQuantum computerQuantumQuantum machine learningContext (archaeology)Theoretical computer sciencePhysicsBiologyPaleontologyQuantum mechanicsQuantum Computing Algorithms and ArchitectureQuantum Information and CryptographyNeural Networks and Reservoir Computing
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