Quantum Machine Learning
Claudio Conti
Broschiertes Buch

Quantum Machine Learning

Thinking and Exploration in Neural Network Models for Quantum Science and Quantum Computing

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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 models, permitting a formulation of quantum physics in which physical observables can be computed via neural networks. As well as demonstrating the natural affinity of quantum physics and machine learning, this viewpoint opens rich possibilities in terms of computation, efficient hardware, and scalabili...