A leap among quantum computing and quantum neural networks: a survey
Massoli Fv, Vadicamo L, Amato G, Falchi F
Quantum Computing Statistics - Machine Learning Machine Learning (stat.ML) General Computer Science Quantum Machine Learning Quantum Physics Computer Science - Emerging Technologies Quantum Physics (quant-ph) FOS: Physical sciences Quantum Deep Learning FOS: Computer and information sciences I.2.0 Theoretical Computer Science Quantum Neural Network Emerging Technologies (cs.ET)
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.
Source: ACM COMPUTING SURVEYS
Metrics
Back to previous page
@article{oai:it.cnr:prodotti:472061,
title = {A leap among quantum computing and quantum neural networks: a survey},
author = {Massoli Fv and Vadicamo L and Amato G and Falchi F},
doi = {10.1145/3529756 and 10.48550/arxiv.2107.03313},
year = {2022}
}
0000-0003-0171-4315Bibliographic record
Deposited version
Deposited version
Deposited version
DOI
10.1145/3529756
10.48550/arxiv.2107.03313
