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Blind Passive Beamforming for MIMO System
Wenhai Lai, Jiawei Yao, Kaiming Shen
https://arxiv.org/abs/2506.00987 https://arxiv.org/pdf…

Blind Passive Beamforming for MIMO System
Passive beamforming for the intelligent surface (IS)-aided multiple-input multiple-output (MIMO) communication is a difficult nonconvex problem. It becomes even more challenging under the practical discrete constraints on phase shifts. Unlike most of the existing approaches that rely on the channel state information (CSI), this work advocates a blind beamforming strategy without any CSI. Simply put, we propose a statistical method that learns the main feature of the wireless environment from th…

This https://arxiv.org/abs/2505.01875 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qu…

MolQAE: Quantum Autoencoder for Molecular Representation Learning
We introduce Quantum Molecular Autoencoder (MolQAE), the first quantum autoencoder to leverage the complete molecular structures. MolQAE uniquely maps SMILES strings directly to quantum states using parameterized rotation gates, preserving vital structural information. Its quantum encoder-decoder framework enables latent space compression and reconstruction. A dual-objective strategy optimizes fidelity and minimizes trash state deviation. Our evaluations demonstrate effective capture of molecul…