Quantum Machine Learning

<p>This book presents the research into and application of machine learning in quantum computation known as quantum machine learning (QML). It presents a comparison of quantum machine learning classical machine learning and traditional programming along with the usage of quantum computing toward improving traditional machine learning algorithms through case studies.</p><p>In summary the book:</p><ul> <p> </p> <li>Covers the core and fundamental aspects of statistics quantum learning and quantum machines.</li> <p> </p> <li>Discusses the basics of machine learning regression supervised and unsupervised machine learning algorithms and artificial neural networks.</li> <p> </p> <li>Elaborates upon quantum machine learning models quantum machine learning approaches and quantum classification and boosting.</li> <p> </p> <li>Introduces quantum evaluation models deep quantum learning ensembles and QBoost.</li> <p> </p> <li>Presents case studies to demonstrate the efficiency of quantum mechanics in industrial aspects.</li> </ul><p>This reference text is primarily written for scholars and researchers working in the fields of computer science and engineering information technology electrical engineering and electronics and communication engineering.</p>