Introduction to Quantum Neural Technologies

Introduction to Quantum Neural Technologies
Author :
Publisher :
Total Pages : 248
Release :
ISBN-10 : UCSD:31822033270448
ISBN-13 :
Rating : 4/5 (48 Downloads)

Book Synopsis Introduction to Quantum Neural Technologies by : Alexandr A. Ezhov

Download or read book Introduction to Quantum Neural Technologies written by Alexandr A. Ezhov and published by . This book was released on 2003 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a first introductory book in Quantum Neural Technology -- a new and promising area of informatics. Combination of the ideas from quantum computing and neural computing raises the possibility of dramatically decreasing the complexity of neural systems by replacing networks of classical neurons with a single quantum neuron. In the first two chapters, the fundamentals of neural technologies and of quantum computing are presented. In the third chapter, it is outlined how the problems typical for classical neural technology can be solved by using quantum neural technology. This book is very useful to students, teachers, researchers, and engineers, who are working in informatics or just interested in being briefly aware of it.


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