INSIGHTS INTO QUANTUM COMPUTING FOR NEXT-GENERATION 6G WIRELESS NETWORKS

Authors

  • Nagarjuna Ayachithula Department of Physics, Sasi Institute of Technology and Engineering, Tadepalligudem, W.G district, Andhra Pradesh -534101, India
  • M. Vinaya Babu Department of Computer Science and Engineering, Teegala Krishna Reddy Engineering College, Meerpet, R.R. District, Hyderabad, Telangana-500097, India
  • N. Usha Rani Department of Physics, Teegala Krishna Reddy Engineering College, Meerpet, R.R district, Hyderabad, Telangana- 500097, India
  • P. Radha Madhavi Department of Computer Science and Engineering, Sasi Institute of Technology and Engineering, Tadepalligudem, W.G district, Andhra Pradesh-534101, India

DOI:

https://doi.org/10.70917/ijcisim-2026-4439

Keywords:

6G wireless network, Terahertz frequency, HHL, CV-QKD, QAOA, QAOSF

Abstract

Sixth-generation (6G) wireless networks must achieve unprecedented performance metrics, including terahertz (THz) frequency band communications, sub-millisecond latency, and hyper-dense device connectivity. The Quantum-Accelerated optimization and security framework (QAOSF) is introduced to address 6G network bottlenecks by integrating the Quantum approximate optimization algorithm (QAOA) for beamforming and a modified Harrow-Hassidim-Lloyd (HHL) algorithm for efficient multi-user detection. The framework enhances security by combining continuous-variable quantum key distribution (CV-QKD) with lattice-based cryptography while mitigating physical constraints through topological error correction and quantum repeaters.

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Published

2026-08-08

How to Cite

Nagarjuna Ayachithula, M. Vinaya Babu, N. Usha Rani, & P. Radha Madhavi. (2026). INSIGHTS INTO QUANTUM COMPUTING FOR NEXT-GENERATION 6G WIRELESS NETWORKS. International Journal of Computer Information Systems and Industrial Management Applications, 18(15s), 587–593. https://doi.org/10.70917/ijcisim-2026-4439

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Section

Original Articles