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Zetong Li

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#artificial intelligence Preprint Sep 2026

Per-Matrix Optimality Is Not Enough: Three-Level Optimization for Low-Rank LLM Compression

Per-matrix singular value decomposition (SVD) truncation is Eckart-Young optimal in the whitened Frobenius norm, but errors from independently compressed matrices compound through the block's nonlinear forward pass. Inspired in part by hierarchical variational optimization in quantum many-body methods, we introduce a t...

Hui-Cheng Zhang, Xi-Yao Feng, Ze-Tong Li et al. · 0 citations
Preprint Jul 2026

Logical Entangling with Phantom Codes in Hypergraph Products

The results make precise how permutation-based logical entangling constrains code design within the HGP framework is designed, demonstrate the circuit-level benefits of the unique family, and guide the search for phantom qLDPC families with better asymptotic parameters for low-overhead fault tolerance on neutral-atom h...

K. He, Ziao Tang, Zetong Li et al. · 0 citations

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