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Phase-Coding Self-Testing Quantum Random Number Generator

Phase-Coding Self-Testing Quantum Random Number Generator
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摘要 How to estimate the randomness of the measurement outcomes generated by a given device is an important issue in quantum information theory. Recently, Brunner et al. [Phys. Rev. Lett. 112 (2014)140407] proposed a prepare-and-measure quantum random number generation scenario with device-independent assumption, which indicates a method to test the randomness of bit strings according to the generation process rather than the results. Based on this protocol, we implement a quantum random number generator with an intrinsic stable phase-encoded quantum key distribution system. The system has been continuously running for more than 200 h, a stable witness W with the average value of 0.9752 and a standard deviation of 0.0024 are obtained. More than 1 G random bits are generated and the results pass all items of NIST test suite. How to estimate the randomness of the measurement outcomes generated by a given device is an important issue in quantum information theory. Recently, Brunner et al. [Phys. Rev. Lett. 112 (2014)140407] proposed a prepare-and-measure quantum random number generation scenario with device-independent assumption, which indicates a method to test the randomness of bit strings according to the generation process rather than the results. Based on this protocol, we implement a quantum random number generator with an intrinsic stable phase-encoded quantum key distribution system. The system has been continuously running for more than 200 h, a stable witness W with the average value of 0.9752 and a standard deviation of 0.0024 are obtained. More than 1 G random bits are generated and the results pass all items of NIST test suite.
出处 《Chinese Physics Letters》 SCIE CAS CSCD 2015年第8期6-8,共3页 中国物理快报(英文版)
基金 Supported by the National Basic Research Program of China under Grant Nos 2011CBA00200 and 2011CB921200 the National Natural Science Foundation of China under Grant Nos 61201239,61205118,11304397 and 61475148 the Strategic Priority Research Program(B) of Chinese Academy of Sciences under Grant Nos XDB01030100 and XDB01030300
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