Quantum Machine Learning (Frontiers in Computational Intelligence)

Quantum Machine Learning (De Gruyter Frontiers in Computational Intelligence) Hardcover – 8 Jun. 2020
By 作者:Siddhartha Bhattacharyya (Editor), Indrajit Pan (Editor), Ashish Mani (Editor), Sourav De (Editor)
Hardcover : 131 pages
ISBN-10 : 311067064X
ISBN-13 : 9783110670646
Product Dimensions : 17 x 0.95 x 24.4 cm
Publisher Finelybook 出版社 : De Gruyter (8 Jun. 2020)
Language 语言: : English
The Book Description robot was collected from Amazon and arranged by Finelybook
Quantum-enhanced machine learning refers to quantum algorithms that solve tasks in machine learning, thereBy 作者: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 作者: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


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