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SuperEncoder: Towards Efficient Neural Approximate Quantum State Preparation

文献类型：期刊论文

作者Zhao, Yilun5,6; Wang, Bingmeng3; Jiang, Wenle4; Pan, Xiwei1; Li, Bing2; Han, Yinhe5,6; Wang, Ying5,6
刊名IEEE TRANSACTIONS ON COMPUTERS
出版日期2026-03-01
卷号75期号:3页码:916-927
关键词Quantum state Qubit Training Runtime Optimization Encoding Iterative methods Vectors Quantum circuit Quantum algorithm Quantum state preparation performance optimization
ISSN号0018-9340
DOI10.1109/TC.2025.3644034
英文摘要Numerous quantum algorithms assume that classical data has already been converted into quantum states, a process known as Quantum State Preparation (QSP). However, achieving precise QSP requires a circuit depth that scales exponentially with the number of qubits, posing a significant challenge to realizing quantum advantage. Recent research explores Parameterized Quantum Circuits (PQCs) as an approximate alternative, offering improved scalability with reduced circuit depth. However, the iterative, state-by-state optimization required by this approach creates substantial runtime overhead, which severely limits its practicality. To improve the efficiency of approximate QSP, we introduce a novel two-stage framework that can potentially generate QSP circuits for arbitrary quantum states. In the offline training stage, our model learns a direct mapping from target states to circuit parameters, thereby bypassing the need for online, state-by-state optimization during the inference stage. Extensive evaluations show that our approach significantly reduces runtime overhead by up to 132x, making a steady step towards efficient neural approximate QSP.
资助项目National Natural Science Foundation of China[62222411] ; National Key R&D Program of China[2023YFB4404400]
WOS研究方向Computer Science ; Engineering
语种英语
WOS记录号WOS:001690579300032
出版者IEEE COMPUTER SOC
源URL[http://119.78.100.204/handle/2XEOYT63/42791]  
专题中国科学院计算技术研究所
通讯作者Wang, Ying
作者单位1.Hong Kong Univ Sci & Technol, Guangzhou 511453, Peoples R China
2.Chinese Acad Sci, Inst Microelect, Beijing 100029, Peoples R China
3.Univ Rochester, Rochester, NY 14627 USA
4.ByteDance, Beijing 100098, Peoples R China
5.Univ Chinese Acad Sci, Beijing 100190, Peoples R China
6.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714		 Zhao, Yilun,Wang, Bingmeng,Jiang, Wenle,et al. SuperEncoder: Towards Efficient Neural Approximate Quantum State Preparation[J]. IEEE TRANSACTIONS ON COMPUTERS,2026,75(3):916-927.
APA Zhao, Yilun.,Wang, Bingmeng.,Jiang, Wenle.,Pan, Xiwei.,Li, Bing.,...&Wang, Ying.(2026).SuperEncoder: Towards Efficient Neural Approximate Quantum State Preparation.IEEE TRANSACTIONS ON COMPUTERS,75(3),916-927.
MLA Zhao, Yilun,et al."SuperEncoder: Towards Efficient Neural Approximate Quantum State Preparation".IEEE TRANSACTIONS ON COMPUTERS 75.3(2026):916-927.

入库方式： OAI收割

来源：计算技术研究所

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