Optimal Task Scheduling in 6G Networks: A Variational Quantum Computing Approach
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-67357-3_5
Reference24 articles.
1. Arute, F., et al.: Quantum supremacy using a programmable superconducting processor. Nature 574(7779), 505–510 (2019)
2. Bittel, L., Kliesch, M.: Training variational quantum algorithms is NP-hard. Phys. Rev. Lett. 127(12), 120502 (2021)
3. Cerezo, M., et al.: Variational quantum algorithms. Nat. Rev. Phys. 3(9), 625–644 (2021)
4. Duong, T.Q., Ansere, J.A., Narottama, B., Sharma, V., Dobre, O.A., Shin, H.: Quantum-inspired machine learning for 6G: fundamentals, security, resource allocations, challenges, and future research directions. IEEE Open J. Veh. Technol. 3, 375–387 (2022)
5. Duong, T.Q., Nguyen, L.D., Narottama, B., Ansere, J.A., Huynh, D.V., Shin, H.: Quantum-inspired real-time optimization for 6G networks: opportunities, challenges, and the road ahead. IEEE Open J. Commun. Soc. 3, 1347–1359 (2022)
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