TY - GEN
T1 - Emergence of Quantum-Enabled 6G Model for Computational Efficiency Retention
AU - Shukla, Aastha
AU - Verma, Tanisha
AU - Mishra, Sushruta
AU - Rathore, Rajkumar Singh
AU - Alkhafaji, Mohammed Ayad
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
PY - 2025/2/19
Y1 - 2025/2/19
N2 - With the exponential growth of mercantile 5G installation, experimentation into B5G and 6G has kicked off solemnly. However, it is too ahead of time to say what will 6G resemble to, it is assured that 6G systems will hold up creative instances with complicated Key Performance Indicators (KPIs) that can be assured through enabling new advances and network designs. In connection to expansion of 5G, QIT is also surging in the field of quantum computing. QIT is awaited to heighten the approaching 6G network with regard to computing and connectivity. The privacy offered by 6G can be improved by using reliable quantum communications including the transmission of quantum keys. The motive of this study is to present a technologically-inclined and futuristic explanation of potential applications of QIT for next-generation 6G networks. This study defined a quantum enabled model for 6 g networks with an optimum mean accuracy of 92.3% and a least mean response delay of only 2.1 s.
AB - With the exponential growth of mercantile 5G installation, experimentation into B5G and 6G has kicked off solemnly. However, it is too ahead of time to say what will 6G resemble to, it is assured that 6G systems will hold up creative instances with complicated Key Performance Indicators (KPIs) that can be assured through enabling new advances and network designs. In connection to expansion of 5G, QIT is also surging in the field of quantum computing. QIT is awaited to heighten the approaching 6G network with regard to computing and connectivity. The privacy offered by 6G can be improved by using reliable quantum communications including the transmission of quantum keys. The motive of this study is to present a technologically-inclined and futuristic explanation of potential applications of QIT for next-generation 6G networks. This study defined a quantum enabled model for 6 g networks with an optimum mean accuracy of 92.3% and a least mean response delay of only 2.1 s.
KW - 6G network
KW - Accuracy rate
KW - Quantum communications
KW - Quantum computing
KW - Quantum information technology
KW - Quantum key distribution
UR - http://www.scopus.com/inward/record.url?scp=86000026365&partnerID=8YFLogxK
U2 - 10.1007/978-981-97-7178-3_9
DO - 10.1007/978-981-97-7178-3_9
M3 - Conference contribution
AN - SCOPUS:86000026365
SN - 9789819771776
T3 - Lecture Notes in Networks and Systems
SP - 101
EP - 112
BT - Proceedings of 5th Doctoral Symposium on Computational Intelligence - DoSCI 2024
A2 - Swaroop, Abhishek
A2 - Kansal, Vineet
A2 - Fortino, Giancarlo
A2 - Hassanien, Aboul Ella
PB - Springer Science and Business Media Deutschland GmbH
T2 - 5th Doctoral Symposium on Computational Intelligence, DoSCI 2024
Y2 - 10 May 2024 through 10 May 2024
ER -