QCI-IoT 2022 : Call for Book Chapters on Quantum Computing Inspired IoT Applications

Call for Book Chapters

-----------------------------



** Quantum Computing Inspired IoT Applications **



CRC Press, Taylor & Francis Group, USA



Important Dates

* Proposal Submission: May 15, 2022 *

- Proposal (Acceptance/Rejection): within 7 days after submission

- Full Chapter Submission: August 15, 2022

- Full Chapter (Acceptance/Rejection): September 10, 2022

- Complete Chapter Submission (to editors): October 1, 2022

- Submission of Chapters (to publisher): November 1, 2022

- Publication Time: Q2/2023 (estimated)





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



Quantum computing will help organizations address significant challenges faster than they could otherwise. Quantum computing-Inspired IoT refers to the use of quantum computing to compute machine learning algorithms with the Internet of Things (IoT) 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, and 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 modeling 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 the 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 made via easychair https://easychair.org/conferences/?conf=qci2a2022.





* Book Editors

Asis Kumar Tripathy, Vellore Institute of Technology, Vellore, [email protected]



Chiranji Lal Chowdhary, Vellore Institute of Technology, Vellore, [email protected]



Kuan-Ching Li, Providence University, Taiwan, [email protected]




* Additional Information

Inquiries and chapter proposal submissions can be forwarded electronically by email, to:

Asis Kumar Tripathy ([email protected]), Chiranji Lal Chowdhary ([email protected]), and Kuan-Ching Li (email: [email protected])