Quantum Machine Learning (Frontiers in Computational Intelligence)

Quantum Machine Learning (De Gruyter Frontiers in Computational Intelligence) Hardcover – 8 Jun. 2020
by: Siddhartha Bhattacharyya ，Indrajit Pan，Ashish Mani，Sourav De
Print length 页数: 131 pages
ISBN-10: 311067064X
ISBN-13: 9783110670646
Publisher finelybook 出版社: De Gruyter (8 Jun. 2020)
Language 语言: English
Book Description
Quantum-enhanced machine learning refers to quantum algorithms that solve tasks in machine learning,thereby: improving a classical machine learning method.
Such algorithms typically require one to encode the given classical dataset into a quantum computer,so as to make it accessible for quantum information processing. After this,quantum information processing routines can be applied and the result of the quantum computation is read out by: measuring the quantum system. For example,the outcome of the measurement of a qubit could reveal the result of a binary classification task. While many proposals of quantum machine learning algorithms are still purely theoretical and require a full-scale universal quantum computer to be tested,others have been implemented on small-scale or special purpose quantum devices.
The salient features of the book include:
In depth analysis of the subject matter with mathematical discourse
Video demonstration of each chapter for enabling the readers to have a good understanding of the chapter contents.
Examples on real life applications.
Illustrative diagrams
Coding examples