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Quantum Machine Learning: An Applied Approach

Posted By: hill0
Quantum Machine Learning: An Applied Approach

Quantum Machine Learning: An Applied Approach:
The Theory and Application of Quantum Machine Learning in Science and Industry

English | 2021 | ISBN: 1484270975 | 570 Pages | PDF EPUB | 40 MB

The first three chapters offer insights into the combination of the science of quantum mechanics and the techniques of machine learning, where concepts of classical information technology meet the power of physics. Subsequent chapters follow a systematic deep dive into various quantum machine learning algorithms, quantum optimization, applications of advanced QML algorithms (quantum k-means, quantum k-medians, quantum neural networks, etc.), qubit state preparation for specific QML algorithms, inference, polynomial Hamiltonian simulation, and more, finishing with advanced and up-to-date research areas such as quantum walks, QML via Tensor Networks, and QBoost.

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