Volume 1, Number 1 (Spring-Summer-91 2013)                   SCJ 2013, 1(1): 46-55 | Back to browse issues page


XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Khosravi M, Zekri M. A Review of Quantum Neural Networks. SCJ. 2013; 1 (1) :46-55
URL: http://scj.kashanu.ac.ir/article-1-37-en.html

Abstract:   (3799 Views)
In this paper the development of quantum neural networks (QNN), and some of presented models and physical implementation are reviewed. How of making use of double-slit experiment for implementing QNN and methods of designing as well as examples of two-layer hybrid networks in QNN constructed from quantum neurons and classical neurons are represented. Some application models of the networks (QNN) is compared with classical models and capabilities of QNN together with the quantum mechanical concepts in solving difficult problems, which is hard to solve by classical models, is noted.
Full-Text [PDF 435 kb]   (2438 Downloads)    
Type of Study: Research | Subject: Special
Received: 2013/01/1 | Accepted: 2013/08/12 | Published: 2015/09/3

Add your comments about this article : Your username or email:
Write the security code in the box

© 2015 All Rights Reserved | Soft Computing Journal

Designed & Developed by : Yektaweb