A Resource-Virtualized and Hardware-Aware Quantum Compilation Framework for Real Quantum Computing Processors

doi:10.34133/research.0947

	A Resource-Virtualized and Hardware-Aware Quantum Compilation Framework for Real Quantum Computing Processors
	Xu, Hong-Ze 1,2,3; Chai, Xu-Dan 1,3; Hu, Meng-Jun 1,3; Wang, Zheng-An 1,3; Feng, Yu-Long 1,3; Chen, Yu 1,4; Zhang, Xinpeng 1,5; Wang, Jingbo 1,3; Zhuang, Wei-Feng 1,3; Jin, Yu-Xin 1,3; Jin, Yirong 1,3; Yu, Haifeng 1,3; Fan, Heng 1,6,7,8,9; Liu, Dong E.1,2,3,9,10
	2025-10-16
发表期刊	RESEARCH
ISSN	2096-5168
卷号	8 页码:13
摘要	As quantum computing systems continue to scale up and become more clustered, efficiently compiling user quantum programs into high-fidelity executable sequences on real hardware remains a key challenge for current quantum compilation systems. In this study, we introduce a system-software framework that integrates resource virtualization and hardware-aware compilation for real quantum computing processors, termed QSteed. QSteed virtualizes quantum processors through a 4-layer abstraction hierarchy comprising the real quantum processing unit (QPU), standard QPU (StdQPU), substructure of the QPU (SubQPU), and virtual QPU (VQPU). These abstractions, together with calibration data, device topology, and noise descriptors, are maintained in a dedicated database to enable unified and fine-grained management across superconducting quantum platforms. At run time, the modular compiler queries the database to match each incoming circuit with the most suitable VQPU, after which it confines layout, routing, gate resynthesis, and noise-adaptive optimizations to that virtual subregion. The complete stack has been deployed on the Quafu superconducting cluster, where experimental runs confirm the correctness of the virtualization model and the efficacy of the compiler without requiring modifications to user code. By integrating resource virtualization with a select-then-compile workflow, QSteed demonstrates a robust architecture for compiling programs on noisy superconducting processors. This architectural approach offers a promising path toward efficient compilation needs across various superconducting quantum computing platforms in the noisy intermediate-scale quantum era.
DOI	10.34133/research.0947
收录类别	SCI
语种	英语
资助项目	Beijing Natural Science Foundation[Z220002] ; National Natural Science Foundation of China[92365111] ; National Natural Science Foundation of China[92365206] ; National Natural Science Foundation of China[T2121001] ; Innovation Program for Quantum Science and Technology[2021ZD0302400]
WOS研究方向	Science & Technology - Other Topics
WOS类目	Multidisciplinary Sciences
WOS记录号	WOS:001594208500001
出版者	AMER ASSOC ADVANCEMENT SCIENCE
引用统计
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/41675
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Xu, Hong-Ze; Hu, Meng-Jun; Liu, Dong E.
作者单位	1.Beijing Acad Quantum Informat Sci, Beijing 100193, Peoples R China 2.Tsinghua Univ, Dept Phys, State Key Lab Low Dimens Quantum Phys, Beijing 100084, Peoples R China 3.Beijing Key Lab Fault Tolerant Quantum Comp, Beijing 100193, Peoples R China 4.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China 5.Beijing Inst Technol, Sch Med Technol, Beijing 100081, Peoples R China 6.Chinese Acad Sci, Inst Phys, Beijing 100190, Peoples R China 7.Univ Chinese Acad Sci, Sch Phys Sci, Beijing 100049, Peoples R China 8.UCAS, CAS Ctr Excellence Topol Quantum Computat, Beijing 100190, Peoples R China 9.Hefei Natl Lab, Hefei 230088, Peoples R China 10.Frontier Sci Ctr Quantum Informat, Beijing 100184, Peoples R China
推荐引用方式 GB/T 7714	Xu, Hong-Ze,Chai, Xu-Dan,Hu, Meng-Jun,et al. A Resource-Virtualized and Hardware-Aware Quantum Compilation Framework for Real Quantum Computing Processors[J]. RESEARCH,2025,8:13.
APA	Xu, Hong-Ze.,Chai, Xu-Dan.,Hu, Meng-Jun.,Wang, Zheng-An.,Feng, Yu-Long.,...&Liu, Dong E..(2025).A Resource-Virtualized and Hardware-Aware Quantum Compilation Framework for Real Quantum Computing Processors.RESEARCH,8,13.
MLA	Xu, Hong-Ze,et al."A Resource-Virtualized and Hardware-Aware Quantum Compilation Framework for Real Quantum Computing Processors".RESEARCH 8(2025):13.