TY - GEN
T1 - Quantum Internet of Things Technology for Low-Carbon Energy System
T2 - 14th International Conference on Computer Engineering and Networks, CENet 2024
AU - Zhang, Lei
AU - Chen, Hang
AU - Liang, Yunyang
AU - Li, Yi Chang
AU - Jia, Zhiyang
AU - Jin, Zhong
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
PY - 2025
Y1 - 2025
N2 - The urgent challenges of global climate change and the objectives of the Paris Agreement highlight the critical role of low-carbon energy technologies. This article examines Quantum Internet of Things (QIoT) technologies-particularly quantum sensing, quantum computing, and quantum communication-within the framework of the low-carbon energy sector. These technologies significantly enhance energy efficiency and security. Quantum sensing enhances resource utilization and system intelligence through precise monitoring. Quantum computing tackles complex data processing and optimization problems, while quantum communication enhances the security, efficiency, and incorporation of renewable energy sources within the energy grid, supporting the shift to a low-carbon energy system. Future research could focus on the development of compact quantum devices, the establishment of interoperability standards, cost reduction, and the enhancement of quantum encryption for low-carbon QIoT energy systems. Additionally, future research could explore the potential of quantum computing in enhancing energy trading optimization and conducting risk assessments of the energy industry chain, thereby improving energy market efficiency.
AB - The urgent challenges of global climate change and the objectives of the Paris Agreement highlight the critical role of low-carbon energy technologies. This article examines Quantum Internet of Things (QIoT) technologies-particularly quantum sensing, quantum computing, and quantum communication-within the framework of the low-carbon energy sector. These technologies significantly enhance energy efficiency and security. Quantum sensing enhances resource utilization and system intelligence through precise monitoring. Quantum computing tackles complex data processing and optimization problems, while quantum communication enhances the security, efficiency, and incorporation of renewable energy sources within the energy grid, supporting the shift to a low-carbon energy system. Future research could focus on the development of compact quantum devices, the establishment of interoperability standards, cost reduction, and the enhancement of quantum encryption for low-carbon QIoT energy systems. Additionally, future research could explore the potential of quantum computing in enhancing energy trading optimization and conducting risk assessments of the energy industry chain, thereby improving energy market efficiency.
KW - Carbon neutrality
KW - Energy efficiency
KW - Quantum communication
KW - Quantum computing
KW - Quantum Internet of Things
KW - Quantum sensing
UR - http://www.scopus.com/inward/record.url?scp=105005655641&partnerID=8YFLogxK
U2 - 10.1007/978-981-96-4229-8_11
DO - 10.1007/978-981-96-4229-8_11
M3 - Conference contribution
AN - SCOPUS:105005655641
SN - 9789819642281
T3 - Lecture Notes in Electrical Engineering
SP - 122
EP - 133
BT - Proceedings of the 14th International Conference on Computer Engineering and Networks - Volume II
A2 - Yin, Guangqiang
A2 - Liu, Xiaodong
A2 - Su, Jian
A2 - Yang, Yangzhao
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 18 October 2024 through 21 October 2024
ER -
