Variational Methods in Optical Quantum Machine Learning

Variational Methods in Optical Quantum Machine Learning

The computing world is rapidly evolving and advancing, with new ground-breaking technologies emerging. Quantum Computing and Quantum Machine Learning have opened up new possibilities, providing unprecedented computational power and problem-solving capabilities while offering a deeper understanding o...

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Bibliographic Details
Main Authors: Marco Simonetti, Damiano Perri, Osvaldo Gervasi
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Quantum computing
variational methods
deep learning
quantum feed-forward neural networks
optical quantum computing
Online Access:https://ieeexplore.ieee.org/document/10325513/

Internet

https://ieeexplore.ieee.org/document/10325513/

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