中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Improved Real-Time Post-Processing for Quantum Random Number Generators

文献类型:期刊论文

作者Li, Qian1; Sun, Xiaoming2; Zhang, Xingjian3; Zhou, Hongyi2
刊名ADVANCED QUANTUM TECHNOLOGIES
出版日期2024-04-29
页码10
关键词post-processing quantum cryptography quantum-proof extractor
DOI10.1002/qute.202400025
英文摘要Randomness extraction is a key problem in cryptography and theoretical computer science. With the recent rapid development of quantum cryptography, quantum-proof randomness extraction has also been widely studied, addressing the security issues in the presence of a quantum adversary. In contrast with conventional quantum-proof randomness extractors characterizing the input raw data as min-entropy sources, it is found that the input raw data generated by a large class of trusted-device quantum random number generators can be characterized as the so-called reverse block source. This fact enables us to design improved extractors. Two novel quantum-proof randomness extractors for reverse block sources that realize real-time block-wise extraction are proposed specifically. In comparison with the general min-entropy randomness extractors, the designs achieve a significantly higher extraction speed and a longer output data length with the same seed length. In addition, they enjoy the property of online algorithms, which process the raw data on the fly without waiting for the entire input raw data to be available. These features make the design an adequate choice for the real-time post-processing of practical quantum random number generators. Applying the extractors to the raw data generated by a widely used quantum random number generator, a simulated extraction speed as high as 300 Gbps is achieved. Novel quantum randomness extractors are proposed against quantum side information. Unlike traditional approaches, the techniques are tailored for reverse block source. The methods achieve significantly higher extraction speeds and longer output data lengths with the same seed length. In addition, the raw data are processed on the fly without waiting for the entire input data available. image
资助项目National Natural Science Foundation[61832003] ; National Natural Science Foundation[62272441] ; National Natural Science Foundation[12204489] ; National Natural Science Foundation of China[XDB28000000] ; Strategic Priority Research Program of Chinese Academy of Sciences[KCCYB-2024016] ; Hetao Shenzhen-Hong Kong Science and Technology Innovation Cooperation Zone Project
WOS研究方向Physics ; Optics
语种英语
WOS记录号WOS:001209433600001
出版者WILEY
源URL[http://119.78.100.204/handle/2XEOYT63/39008]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Zhou, Hongyi
作者单位1.Shenzhen Res Inst Big Data, Shenzhen lnternat Ctr Industrial&Applied Math, Shenzhen 518172, Peoples R China
2.Chinese Acad Sci, Inst Comp Technol, State Key Lab Processors, Beijing 100190, Peoples R China
3.Tsinghua Univ, Inst Interdisciplinary Informat Sci, Ctr Quantum Informat, Beijing 100084, Peoples R China
推荐引用方式
GB/T 7714
Li, Qian,Sun, Xiaoming,Zhang, Xingjian,et al. Improved Real-Time Post-Processing for Quantum Random Number Generators[J]. ADVANCED QUANTUM TECHNOLOGIES,2024:10.
APA Li, Qian,Sun, Xiaoming,Zhang, Xingjian,&Zhou, Hongyi.(2024).Improved Real-Time Post-Processing for Quantum Random Number Generators.ADVANCED QUANTUM TECHNOLOGIES,10.
MLA Li, Qian,et al."Improved Real-Time Post-Processing for Quantum Random Number Generators".ADVANCED QUANTUM TECHNOLOGIES (2024):10.

入库方式: OAI收割

来源:计算技术研究所

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