Antenna Array Beamforming Based on a Hybrid Quantum Optimization Framework
This paper proposes a hybrid quantum optimization framework for large-scale antenna-array beamforming with jointly optimized discrete phases and continuous amplitudes. The method combines quantum-inspired search with classical gradient refinement to handle mixed discrete-continuous variables efficiently. For phase optimization, a Gray-code and odd-combination encoding scheme is introduced to improve robustness and avoid the complexity explosion of higher-order Ising models. For amplitude optimization, a geometric spin-combination encoding and a two-stage strategy are developed, using quantum-inspired optimization for coarse search and gradient optimization for fine refinement. To enhance ...
| Authors | Shuai Zeng |
|---|---|
| Primary category | quant-ph |
| Published | 20 March 2026 |
| Last updated at source | 20 March 2026 |
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