Author

Weijia Cao

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Jul 2026

LegoQ: Density-Matrix Representation Learning with Spectral-Spatial State Transitions for Hyperspectral Classification

Method is presented, a classical density-matrix representation learning framework for hyperspectral images that supports constrained matrix-state learning as a practical alternative to vector-only hyperspectral classification without requiring quantum hardware.

Weijia Cao, Xiaofei Yang, Fu Wang et al. · arXiv.org · 0 citations