A model-driven unrolled Transformer architecture solves non-linear biased phase retrieval for channel estimation in Rydberg atomic receivers and outperforms both classic iterative methods and black-box networks with fewer pilots.
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Channel Estimation for Rydberg Atomic Quantum Receivers: Unrolled Phase Retrieval from Holographic Snapshots
A model-driven unrolled Transformer architecture solves non-linear biased phase retrieval for channel estimation in Rydberg atomic receivers and outperforms both classic iterative methods and black-box networks with fewer pilots.