研究库 论文知识库

内容库 / 论文

arXiv:2609.24657 · 多模态

Circuit Hypernetworks for Quantum-Augmented Diffusion Language Models

Circuit Hypernetworks for Quantum-Augmented Diffusion Language Models

类型：arxiv
标识：2609.24657
链接：https://arxiv.org/abs/2609.24657
主分类：multimodal
形态：method
TLDR：Language models can be adapted by changing the computations applied to individual tokens. Quantum circuits offer one such approach, but evaluating wider circuits inside a large model can be computationally demanding. Here we introduce HyperQ, which adds token-conditioned quantum residual branches to a frozen masked-diffusion language model. A quantum residual branch is a module in each transformer block that reads a token's hidden state, emits the coordinates of that token's circuit, executes it, and adds the measured values back through a residual connection. The backbone remains frozen, and
待LLM分类：否
来源文件：
/inbox/tom/_candidates/2026-09-23-agent-rag-longcontext-candidates.json

相关 · 按语义匹配

笔记批判性精读 · Entropy-Valley "Length-Adaptive Decoding for Masked Diffusion MT" `arXiv:2608.22274` · dLLM 长度自适应解码新锚

笔记 Yannic Kilcher (YouTube) · RSS 摘要

笔记 LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning

仓库 wuyoscar/GPT-Image2-Skill

仓库 modelscope/richdreamer

笔记 Cool Papers · cs.IR (papers.cool) · RSS 摘要

arXiv

2609.24657

TLDR

Language models can be adapted by changing the computations applied to individual tokens. Quantum circuits offer one such approach, but evaluating wider circuits inside a large model can be computationally demanding. Here we introduce HyperQ, which adds token-conditioned quantum residual branches to a frozen masked-diffusion language model. A quantum residual branch is a module in each transformer block that reads a token's hidden state, emits the coordinates of that token's circuit, executes it, and adds the measured values back through a residual connection. The backbone remains frozen, and

arXiv ↗ 中文全文