Variational Learning for Quantum Artificial Neural Networks

Variational Learning for Quantum Artificial Neural Networks

In the past few years, quantum computing and machine learning fostered rapid developments in their respective areas of application, introducing new perspectives on how information processing systems can be realized and programmed. The rapidly growing field of quantum machine learning aims at bringin...

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Bibliographic Details
Main Authors: Francesco Tacchino, Stefano Mangini, Panagiotis Kl. Barkoutsos, Chiara Macchiavello, Dario Gerace, Ivano Tavernelli, Daniele Bajoni
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Transactions on Quantum Engineering
Subjects:
Artificial neural networks
supervised learning
quantum computing
quantum algorithm
Online Access:https://ieeexplore.ieee.org/document/9364892/

Internet

https://ieeexplore.ieee.org/document/9364892/

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