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Circuit Hypernetworks for Quantum-Augmented Diffusion Language Models
The paper introduces HyperQ, a token‑conditioned quantum residual branch added to a frozen masked‑diffusion language model. By using a hypernetwork to generate circuit parameters and an exact linear‑time classical expectation formula, they train circuits up to 64 qubits and achieve modest benchmark improvements over the base model with far fewer fine‑tuning examples.
Hugging Face Daily Papersarxiv.org1 minpaper
