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Quantum and Blockchain for Modern Computing Systems: Vision and Advancements

Quantum and Blockchain Technologies: Current Trends and Challenges

  • Book
  • © 2022

Overview

  • Covers study approaches that improve quantum computing and cryptography protocols
  • Is useful for researchers in identifying recent quantum integrated blockchain network’s issues and challenges
  • Presents comprehensive studies over improvement in security and suitability of post-quantum cryptosystems

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies (LNDECT, volume 133)

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Table of contents (12 chapters)

Keywords

About this book

This book states that blockchain technology provides a secure distributed, peer-to-peer, and decentralized network with advanced cryptography primitives and protocols. The important question that arises in the quantum computing world is to test the existing blockchain networks against quantum attacks and design quantum computing enabled secure blockchain solutions. This book encourages professionals from different fields to provide blockchain and quantum technology-integrated solutions that incorporate low-cost, effective QoS, fast, secure, and futuristic demands. This book has surveyed and proposed approaches that improve quantum computing and cryptography protocols. Quantum computing and quantum science are not just helpful in software but the hardware world as well. To design networks with quantum science, quantum-enabled devices like quantum memories and quantum repeaters can be useful to demonstrate for organizations. For example, designing a single quantum repeater for long-distance quantum communication is useful in reducing the network cost, and ensuring better security levels. This book has introduced the quantum computing and blockchain technology aspects, their integration approaches and future directions.

Editors and Affiliations

  • Department of Systemics, University of Petroleum and Energy Studies, Dehradun, India

    Adarsh Kumar

  • School of Electronic Engineering and Computer Science, Queen Mary University of London, London, UK

    Sukhpal Singh Gill

  • Scientific Network for Innovation and Researsch Excellence, Machine Intelligence Research Labs (MIR Labs), Auburn, USA

    Ajith Abraham

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