Quantum Machine Learning Thinking and Exploration in Neural Network Models for Quantum Science and Quantum Computing /

This book presents a new way of thinking about quantum mechanics and machine learning by merging the two. Quantum mechanics and machine learning may seem theoretically disparate, but their link becomes clear through the density matrix operator which can be readily approximated by neural network mode...

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Bibliografske podrobnosti

Glavni avtor:	Conti, Claudio (Author)
Korporativna značnica:	SpringerLink (Online service)
Format:	Elektronski eKnjiga
Jezik:	angleščina
Izdano:	Cham : Springer International Publishing : Imprint: Springer, 2024.
Izdaja:	1st ed. 2024.
Serija:	Quantum Science and Technology,
Teme:	Quantum physics. Machine learning. Quantum computers. Quantum computing. Mathematical physics. Computer simulation. Neural networks (Computer science) . Quantum Physics. Machine Learning. Quantum Computing. Quantum Information. Computational Physics and Simulations. Mathematical Models of Cognitive Processes and Neural Networks.
Online dostop:	https://doi.org/10.1007/978-3-031-44226-1
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