Quantum Machine Learning for 6G Communication Networks: State-of-the-Art and Vision for the Future-Reference-Cited by-同舟云学术

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Quantum Machine Learning for 6G Communication Networks: State-of-the-Art and Vision for the Future

Published:2019 Issue: Volume:7 Page:46317-46350
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Nawaz Syed Junaid^ORCID,Sharma Shree Krishna,Wyne Shurjeel,Patwary Mohammad N.,Asaduzzaman Md.

Funder

EU-funded

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8600701/08681450.pdf?arnumber=8681450

Cited by 389 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

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3. Efficient resource allocation using whale optimization for cell-free massive MIMO networks in 6G HetNet;Physical Communication;2024-10

4. Sustainable Resource Allocation and Base Station Optimization Using Hybrid Deep Learning Models in 6G Wireless Networks;Sustainability;2024-08-23

5. The Role of 6G Technologies in Advancing Smart City Applications: Opportunities and Challenges;Sustainability;2024-08-16

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