[AISWorld] Call for Book Chapters: "Quantum Computing Inspired IoT Applications", Taylor & Francis

[Editorial Manager]

Apologies if multiple copies of this call are received

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Call for Book Chapters
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** Quantum Computing Inspired IoT Applications **

CRC Press, Taylor & Francis Group, USA

Important Dates
- Proposal submission-Oct 1, 2022
- Proposal acceptance-5 days
- Full chapter submissions- Nov 25, 2022
- Chapter Acceptance-December 15, 2022
- Complete chapter submissions-Jan 31, 2023
- Chapters to publisher-Feb 1, 2023
- Publication Time: Q3/2023 (estimated)


Quantum computing is viewed by many as a possible future option for tackling these high complexity or seemingly-intractable problems by complementing classical computing with a fundamentally different compute paradigm. To mitigate the issues, the network can be assembled and integrated with the quantum computing technology. Quantum computing therefore has the potential for speedups that are large enough to make previously-intractable problems tractable.

Quantum computing will help organizations address big challenges much faster than they could otherwise. Quantum computing-Inspired IoT refers to the use of quantum computing for the computation of machine learning algorithms with internet of things applications. With the computational advantages of quantum computing, quantum computing-inspired IoT can now achieve results that were not possible with classical computers. The incredible growth in approaching this milestone was made possible in the iterative learning process through IoT, blockchain, neural networks, machine learning, and deep learning methodologies.

Book co-editors intend to invite experts and successful case participating members to contribute discussions on topics related to performance, benchmarking, durability, robustness, as well data gathering in IoT networks using quantum computing techniques.


* Topics
Topics include, but are not limited to, the following:

Basics of IoT, Blockchain and Quantum Computing
Quantum Computing and Blockchain base Network Security
Quantum Computing based Big Data Analytics and Machine Learning
Parallel and Distributed Computing using Quantum Computing
Use of Quantum Computing in Data Analytics Environment
Quantum Computing approach to decision making and problem solving
Deep learning based Quantum Computing for Security
Quantum Computing based business analytics
Shaping the Wireless Network using Quantum Computing
Association of Quantum Computing with Network Protocols
Computational Neuroscience and Quantum Computing
Embodying Blockchain, the Internet of Things and Quantum Computing
Routing and Security mechanisms in the IoT environment using Quantum Computing
Empirical data and research techniques contributed to IoT using Quantum Computing
Quantum Computing based blockchain modelling techniques by using neural network, machine learning and deep learning
Quantum Computing oriented Applications of IoT using deep learning technologies


* Proposal submission
A proposal for book chapter is needed from prospective authors before the proposal *submission due date*, describing the objective, scope and structure of the proposed chapter (no more than 5 pages). Acceptance of chapter proposals will be communicated to lead chapter authors after a formal double-blind review process, to ensure relevance, quality and originality. The submission of chapter proposals should be done via easychair https://easychair.org/conferences/?conf=qci2a2022.


* Book Editors
Asis Kumar Tripathy, Vellore Institute of Technology, Vellore, India   asistripathy at gmail.com<mailto:asistripathy at gmail.com>

Chiranji Lal Chowdhary, Vellore Institute of Technology, Vellore, India    prof.chowdhary at gmail.com<mailto:prof.chowdhary at gmail.com>

Kuan-Ching Li, Providence University, Taiwan, kuancli at gm.pu.edu.tw<mailto:kuancli at gm.pu.edu.tw>


* Additional Information
Inquiries and chapter proposal submissions can be forwarded electronically by email, to:
Asis Kumar Tripathy (email-asistripathy at gmail.com<mailto:email-asistripathy at gmail.com>), Chiranji Lal Chowdhary (email-prof.chowdhary at gmail.com<mailto:email-prof.chowdhary at gmail.com>),  and Kuan-Ching Li (email: kuancli at gm.pu.edu.tw<mailto:kuancli at gm.pu.edu.tw>)