Principles Of Quantum Artificial Intelligence Quantum Problem Solving And Machine Learning Second Edition

This book PDF is perfect for those who love Computers genre, written by Andreas Miroslaus Wichert and published by World Scientific which was released on 08 July 2020 with total hardcover pages 497. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Principles Of Quantum Artificial Intelligence Quantum Problem Solving And Machine Learning Second Edition books below.

Principles Of Quantum Artificial Intelligence  Quantum Problem Solving And Machine Learning  Second Edition
Author : Andreas Miroslaus Wichert
File Size : 52,9 Mb
Publisher : World Scientific
Language : English
Release Date : 08 July 2020
ISBN : 9789811224324
Pages : 497 pages
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Principles Of Quantum Artificial Intelligence Quantum Problem Solving And Machine Learning Second Edition by Andreas Miroslaus Wichert Book PDF Summary

This unique compendium presents an introduction to problem solving, information theory, statistical machine learning, stochastic methods and quantum computation. It indicates how to apply quantum computation to problem solving, machine learning and quantum-like models to decision making — the core disciplines of artificial intelligence.Most of the chapters were rewritten and extensive new materials were updated. New topics include quantum machine learning, quantum-like Bayesian networks and mind in Everett many-worlds.

Principles Of Quantum Artificial Intelligence  Quantum Problem Solving And Machine Learning  Second Edition

This unique compendium presents an introduction to problem solving, information theory, statistical machine learning, stochastic methods and quantum computation. It indicates how to apply quantum computation to problem solving, machine learning and quantum-like models to decision making — the core disciplines of artificial intelligence.Most of the chapters were rewritten and

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Principles of Quantum Artificial Intelligence

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In this book, we introduce quantum computation and its application to AI. We highlight problem solving and knowledge representation framework. Based on information theory, we cover two main principles of quantum computation — Quantum Fourier transform and Grover search. Then, we indicate how these two principles can be applied to problem

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