Archives of Quantum Computing: Research Progress and Challenges

Quantum computing is a revolutionary concept among emerging technologies visioned by researchers. The interdisciplinary nature of quantum computing evolves as cross-pollination of ideas, techniques, and methodologies. Henceforth, a comprehensive analysis of the literature is conducted to insight the...

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Vydané v:Archives of computational methods in engineering Ročník 31; číslo 1; s. 73 - 91
Hlavní autori: Sood, Vaishali, Chauhan, Rishi Pal
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Dordrecht Springer Netherlands 01.01.2024
Springer Nature B.V
Predmet:
Algorithms
Bibliometrics
Blockchain
Citation analysis
Citations
Cocitation
Coherence
Collaboration
Computers
Engineering
Error correction & detection
Machine learning
Mathematical and Computational Engineering
Network analysis
NMR
Nuclear magnetic resonance
Quantum computers
Quantum computing
Quantum dots
Quantum mechanics
Quantum phenomena
Review Article
Scientometrics
Software
Support vector machines
Trends
ISSN:1134-3060, 1886-1784
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Shrnutí:Quantum computing is a revolutionary concept among emerging technologies visioned by researchers. The interdisciplinary nature of quantum computing evolves as cross-pollination of ideas, techniques, and methodologies. Henceforth, a comprehensive analysis of the literature is conducted to insight the progression of quantum computing research. Our study unfurls the intellectual landscape of major research domains in quantum computing including fiducial quantum state initialization, quantum superposition, quantum coherence, fault-tolerence and quantum algorithms. It assesses the prominence of the field through co-citation network analysis and burst reference analysis to unveil research trends that can be interweaved for the realization of quantum computers. The research findings reveal that photons, squids, nuclear magnetic resonance, semiconductor quantum dots, cryogenic temperatures, quantum machine learning, and support vector machines are the core research areas. Further, a meta-literature analysis of the research domain is carried out to extract the evolutionary pathways for future research.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1134-3060
1886-1784
DOI:10.1007/s11831-023-09973-2