AI RESEARCH
Antenna Array Beamforming Based on a Hybrid Quantum Optimization Framework
arXiv CS.LG
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ArXi:2603.20072v1 Announce Type: cross 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