6 papers
Bridging Superconducting and Neutral-Atom Platforms for Efficient Fault-Tolerant Quantum Architectures
Xiang Fang, Jixuan Ruan, Sharanya Prabhu +4
The transition to the fault-tolerant era exposes the limitations of homogeneous quantum systems, where no single qubit modality simultaneously offers optimal operation speed, conne…
TrapSIMD: SIMD-Aware Compiler Optimization for 2D Trapped-Ion Quantum Machines
Jixuan Ruan, Hezi Zhang, Xiang Fang +8
Modular trapped-ion (TI) architectures offer a scalable quantum computing (QC) platform, with native transport behaviors that closely resemble the Single Instruction Multiple Data…
Towards LLM-based optimization compilers. Can LLMs learn how to apply a single peephole optimization? Reasoning is all LLMs need!
Xiangxin Fang, Lev Mukhanov
Large Language Models (LLMs) have demonstrated great potential in various language processing tasks, and recent studies have explored their application in compiler optimizations. H…
SymBreak: Mitigating Quantum Degeneracy Issues in QLDPC Code Decoders by Breaking Symmetry
Keyi Yin, Xiang Fang, Jixuan Ruan +7
Quantum error correction (QEC) is critical for scalable and reliable quantum computing, but existing solutions, such as surface codes, incur significant qubit overhead. Quantum low…
CaliScalpel: In-Situ and Fine-Grained Qubit Calibration Integrated with Surface Code Quantum Error Correction
Xiang Fang, Keyi Yin, Yuchen Zhu +8
Quantum Error Correction (QEC) is a cornerstone of fault-tolerant, large-scale quantum computing. However, qubit error drift significantly degrades QEC performance over time, neces…
PowerMove: Optimizing Compilation for Neutral Atom Quantum Computers with Zoned Architecture
Jixuan Ruan, Xiang Fang, Hezi Zhang +3
Neutral atom-based quantum computers (NAQCs) have recently emerged as promising candidates for scalable quantum computing, largely due to their advanced hardware capabilities, part…