Introduction

 

From being functionally monolithic and binary data based in the past, the real-life applications had been transferred to being quantum big data processing systems that adopt the traditional binary data processing approach. Openness, heterogeneity, adaptivity, and dynamism of work environments are becoming the main characteristics of modern real-life applications and it becomes obvious that they are becoming increasingly interconnected and more difficult to maintain. Due to the increase in these applications size, complexity and the number of components, it is no longer practical to anticipate and model all possible interactions and data processing in these applications using the traditional data processing model. The emerging of new engineering research areas are a clear evidence of the emergence of new demands and requirements of modern real-life applications to be more intelligent, and quantum computing based. Recently, the intelligent systems gained a great attention in all real-life applications. It is being promoted by the software engineering community to use such systems as the adequate solution to handle the current requirements of complex big data processing problems that demanding distribution, flexibility, and robustness. In addition, the increasing usage of wide area networks such as the Internet as a communication medium for such emerging commercial applications made them more overloaded with big amount of data. Thus, we believe that the near future scientific research will focus quantum computing and big data processing in intelligent systems.    This Book aims to provide a collection of high quality research works that address broad challenges in both theoretical and application aspects of big data processing for intelligent real-life applications in quantum computing environment. We invite colleagues to contribute original book chapters that will stimulate the continuing effort on the application of the intelligent systems that leads to solve the problem of big data processing in quantum based environment.  We invite all researchers and practitioners who are developing algorithms, systems, and applications, to share their results, ideas, and experiences. Besides the main topic covering all related Big data in Quantum Computing and Intelligent Systems Applications.  Topics of interest include, but are not limited to, the following: 

·          Quantum Computing

·          Quantum Information Processing

·          Quantum Image Processing

·          Quantum information protocols for cryptography,

·          Quantum information protocols for  communications,

·          Quantum information protocols for computation,  

·          Quantum information protocols for sensing.

·          Quantum Mechanics

·          Quantum computing for big data analysis

·          Quantum Wireless Sensor network

·          quantum algorithms

·          models of quantum computation

·          quantum complexity theory

·           Quantum  Intelligent Systems

·          Quantum Machine learning

·          Evolutionary Computation Applications

·          Quantum  for Big Data Storage and Retrieval

·          Quantum  for Big Data Encryption

·           Quantum  for Secure Quantum Data Communication

·          Real-life Intelligent Quantum Applications

Chapter Submission

 

Submitted manuscripts should conform to the standard guidelines of the Springer's book chapter format. Manuscripts must be prepared using Latex, Word is not accepted, and according to the Springer's svmlt template that can be downloaded from the (link). Manuscripts that do not follow the formatting rules will be ignored. Prospective authors should send their manuscripts electronically to the following email address: mohamed_elhoseny@mans.edu.eg , with the subject title as: "Quantum computing: an environment for intelligent large scale application   - Book Chapter" in PDF. Submitted manuscripts will be refereed by at least two independent and expert reviewers for quality, correctness, originality, and relevance. The accepted contributions will be published in Intelligent Systems Reference Library by Springer.

Publication Schedule

The tentative schedule of the book publication is as follows:

 Deadline for paper submission: January    30, 2017

First round notification : March  30, 2017

Camera-ready submission: May  25, 201

Publication date: 2nd quarter of 2017

 

Volume editors

Aboul-Ella Hassanien 
 

Scientific Research Group in Egypt (SRGE)

 

Faculty of Computers & Information 
 

Cairo university

 

Email:aboitcairo@gmail.com

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Mohamed Elhoseny,

Associate Professor, Computer and Information Sciences,

Mansoura University, Egypt

Email: mohamed_elhoseny@mans.edu.eg

&

Visitor, University of North Texas,

Denton, Texas, USA, 

Email: mohamed.elhoseny@unt.edu

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Janusz Kacprzyk, Ph.D., D.Sc., Dr.h.c.

Fellow of IEEE, IFSA, ECCAI
Full Member, Polish Academy of Sciences
Member, Academia Europaea
Member, Europaen Academy of Sciences and Arts
Foreign Member, Bulgarian Academy of Sciences
Foreign Member, Spanish Royal Academy of Economic and Financial Sciences (RACEF)

President, Polish Operational and Systems Research Society
Past President of IFSA (International Fuzzy Systems Association)
Systems Research Institute
Polish Academy of Sciences
ul. Newelska 6
01-447 Warsaw
Poland

Email: janusz.kacprzyk@ibspan.waw.pl
http://www.ibspan.waw.pl/~kacp