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20242026
most citedThe Dawn of AI-Native EDA: Opportunities and Challenges of Large Circuit Models

21 citations · 26 across the 9 of their papers we have counts for

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5 papers · 1 filter

quant-ph2026

GadIR: A Spatial-Topology Preserving Compiler for Quantum Many-Body Systems Simulation

Xiangyu Ren, Yuexun Huang, Zhaohui Yang +5

Simulating quantum many-body systems has been one of the most important applications of quantum computation. For simulation, the Hamiltonian of a physical system is compiled into q…

cs.AR2026

LongRTL: Graph-Similarity-Guided LLM-driven Long Context RTL Optimization

Yuyang Ye, Che-Kuan Shen, Xiangfei Hu +5

Large Language Models (LLMs) show great promise in RTL code generation and optimization. However, real-world RTL designs are typically long, entangled, and poorly modularized, posi…

cs.AR2026

CPPL: A Circuit Prompt Programming Language

Shuo Yin, Yihe Wang, Lancheng Zou +6

Large language models (LLMs) have shown promise in register-transfer level (RTL) design automation, but direct RTL generation remains difficult to validate, optimize, and integrate…

cs.CE2026

MappingEvolve: LLM-Driven Code Evolution for Technology Mapping

Rongliang Fu, Yi Liu, Qiang Xu +1

Technology mapping is a critical yet challenging stage in logic synthesis. While Large Language Models (LLMs) have been applied to generate optimization scripts, their potential fo…

quant-ph2026

Photonic Quantum Computing on Spin Memory Architecture with Tree-Encoded Fusion

Xiangyu Ren, Yuexun Huang, Zhemin Zhang +4

Photonic quantum computing provides a promising route toward quantum computation by naturally supporting the measurement-based quantum computation (MBQC) model. In MBQC, programs a…