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arXiv 2512.02468cs.ITmath.IT
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无线通信系统中的量子优化:原理与应用

Quantum Optimization in Wireless Communication Systems: Principles and Applications

Ioannis Krikidis, Valentin Gilbert

AI总结:

本文探讨了量子优化在无线通信系统设计中的原理与应用,分析了量子退火和量子近似优化算法,并通过实验验证了被动重构智能表面波束成形的设计。

摘要:

量子优化有潜力在下一代无线通信系统的设计中发挥变革性作用,通过解决关键的计算和技术挑战。本文概述了量子优化的基础——绝热量子计算的原理,并探讨了其两种主要计算模型:量子退火和基于门的量子近似优化算法。通过突出其核心特征、性能优势、限制和区别,我们将这些方法定位为推动无线通信系统设计发展的重要工具。作为案例研究,我们探讨了具有二进制相位分辨率的被动重构智能表面波束成形设计,并通过从现实量子硬件获得的实验结果进行支持。

英文摘要:

Quantum optimization is poised to play a transformative role in the design of next-generation wireless communication systems by addressing key computational and technological challenges. This paper provides an overview of the principles of adiabatic quantum computing, the foundation of quantum optimization, and explores its two primary computational models: quantum annealing and the gate-based quantum approximate optimization algorithm. By highlighting their core features, performance benefits, limitations, and distinctions, we position these methods as promising tools for advancing wireless communication system design. As a case study, we examine the design of passive reconfigurable intelligent surface beamforming with binary phase-shift resolution, supported by experimental results obtained from real-world quantum hardware.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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