Beamforming optimization via quantum algorithms using Variational Quantum Eigensolver and Quantum Approximate Optimization Algorithm

被引：0

作者：

Dhara, Bidisha ^{[1
]}

Agrawal, Monika ^{[1
]}

Roy, Sumantra Dutta ^{[1
]}

机构：

[1] Indian Inst Technol Delhi, New Delhi, India

来源：

IET QUANTUM COMMUNICATION | 2025年 / 6卷 / 01期

关键词：

quantum computing; quantum computing techniques;

D O I：

10.1049/qtc2.12120

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

This study investigates the application of quantum algorithms, specifically the Variational Quantum Eigensolver (VQE) and the Quantum Approximate Optimization Algorithm (QAOA), to design optimal sensor configurations for beamforming, enhancing signal quality and overall system performance. We propose two distinct optimization formulations: one aimed at maximising array gain while the other aimed at maximising signal-to-noise-interference ratio (SINR). Our findings show that the outputs obtained from quantum algorithms are consistent with those derived from classical methods.

引用

页数：9

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