000 02679nam a22003737a 4500
003 OSt
005 20250714114409.0
008 250714b |||||||| |||| 00| 0 eng d
020 _a9783031046124
_q(paperbackl)
040 _beng
_cDLC
_dDLC
_erda
_aSai University Library
082 _223
_a006.3843
245 1 0 _aQuantum and Blockchain for Modern Computing Systems: Vision and Advancements :
_bQuantum and Blockchain Technologies: Current Trends and Challenges /
_cAdarsh Kumar, Sukhpal Singh Gill, Ajith Abraham editors.
250 _a1st edition 2022
260 _aCham :
_bSpringer,
_c2022
264 1 _aCham :
_bSpringer,
_c2022
264 4 _c©2022
300 _ax, 364 pages :
_billustrations ;
336 _2rdacontent
_atext
_btxt
337 _2rdamedia
_aunmediated
_bn
338 _2rdacarrier
_avolume
_bnc
490 1 _aLecture Notes on Data Engineering and Communications Technologies,
_v133
_x2367-4520 ;
500 _aGifted by Professor Ajith Abraham
504 _aIncludes bibliographical references and index
520 _aThis 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.
650 0 _aComputational intelligence
650 0 _aEngineering
_xData processing
650 0 _aQuantitative research
650 0 _aQuantum computers
700 1 _aKumar, Adarsh
_eeditor
700 1 _aGill, Sukhpal Singh
_eeditor
700 1 _aAbraham, Ajith
_eeditor
830 0 _aLecture Notes on Data Engineering and Communications Technologies,
_v133
_x2367-4520 ;
942 _2ddc
_cBK
999 _c6848
_d6848