Quantum Random Number Generation Based on Phase Reconstruction

• URL: http://arxiv.org/abs/2401.08325v1
• Date: Tue, 16 Jan 2024 12:44:24 GMT
• Title: Quantum Random Number Generation Based on Phase Reconstruction
• Authors: Jialiang Li and Zitao Huang and Chunlin Yu and Jiajie Wu and Tongge Zhao and Xiangwei Zhu and Shihai Sun
• Abstract summary: Quantum random number generator (QRNG) utilizes the intrinsic randomness of quantum systems to generate genuine random numbers. Traditional phase noise QRNGs suffer from a 50% loss of quantum entropy during the randomness extraction process. We propose a phase-reconstruction quantum random number generation scheme, in which the phase noise of a laser is reconstructed by simultaneously measuring the quadratures of the light field.
• Score: 1.1085288227234302
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Quantum random number generator (QRNG) utilizes the intrinsic randomness of quantum systems to generate completely unpredictable and genuine random numbers, finding wide applications across many fields. QRNGs relying on the phase noise of a laser have attracted considerable attention due to their straightforward system architecture and high random number generation rates. However, traditional phase noise QRNGs suffer from a 50\% loss of quantum entropy during the randomness extraction process. In this paper, we propose a phase-reconstruction quantum random number generation scheme, in which the phase noise of a laser is reconstructed by simultaneously measuring the orthogonal quadratures of the light field using balanced detectors. This enables direct discretization of uniform phase noise, and the min-entropy can achieve a value of 1. Furthermore, our approach exhibits inherent robustness against the classical phase fluctuations of the unbalanced interferometer, eliminating the need for active compensation. Finally, we conducted experimental validation using commercial optical hybrid and balanced detectors, achieving a random number generation rate of 1.96 Gbps at a sampling rate of 200 MSa/s.

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