Fast Quantum-Inspired Algorithm for Beamforming

This paper presents a fast quantum-inspired algorithm to tackle the NP-hard beamforming problem in MIMO arrays. The proposed method achieves high-bit phase optimization with over a 1000-fold speedup compared to genetic algorithms while maintaining near-ground-state solutions. Tests on various array sizes demonstrate the algorithm's scalability, stability, and near real-time performance for small-size arrays, confirming its potential for large-scale electromagnetic optimization.

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Publication Details

Published
2025-03-30
DOI
https://doi.org/10.23919/eucap63536.2025.10999342
Primary Topic
Blind Source Separation Techniques
Type
article
Field-Weighted Citation Impact
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article

Fast Quantum-Inspired Algorithm for Beamforming

Wei E. I. Sha, Yutong Jiang, Shuai Yuan, Hangyu Ge
Blind Source Separation Techniques
article

Fast Quantum-Inspired Algorithm for Beamforming

Wei E. I. Sha, Yutong Jiang, Shuai Yuan, Hangyu Ge
article en

Abstract

This paper presents a fast quantum-inspired algorithm to tackle the NP-hard beamforming problem in MIMO arrays. The proposed method achieves high-bit phase optimization with over a 1000-fold speedup compared to genetic algorithms while maintaining near-ground-state solutions. Tests on various array sizes demonstrate the algorithm's scalability, stability, and near real-time performance for small-size arrays, confirming its potential for large-scale electromagnetic optimization.

Zhejiang University (CN)
Affordable and clean energy
Openalex Percentile: Top 88%
Blind Source Separation Techniques
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