Compact quantum random number generator based on a laser diode and silicon photonics integrated hybrid chip
Xuyang Wang, Tao Zheng, Yanxiang Jia, Qianru Zhao, Yu Zhang, Yuqi Shi,, Ning Wang, Zhenguo Lu, Jun Zou, Yongmin Li

TL;DR
This paper presents a compact, low-power quantum random number generator using a silicon photonics hybrid chip and laser diode, demonstrating effective noise management and potential for moderate-speed applications.
Contribution
The study introduces a novel, miniaturized QRNG integrating silicon photonics and laser diode, with optimized noise ratio and low power consumption, suitable for practical moderate-speed use.
Findings
Achieved a hybrid chip size of 8.8*2.6*1 mm3
Demonstrated a quantum-to-classical noise ratio of ~9 dB
Attained a power consumption of 80 mW
Abstract
In this study, a compact and low-power-consumption quantum random number generator (QRNG) based on a laser diode and silicon photonics integrated hybrid chip is proposed and verified experimentally. The hybrid chip's size is 8.8*2.6*1 mm3, and the power of entropy source is 80 mW. A common mode rejection ratio greater than 40 dB was achieved using an optimized 1*2 multimode interferometer structure. A method for optimizing the quantum-to-classical noise ratio is presented. A quantum-to-classical noise ratio of approximately 9 dB was achieved when the photoelectron current is 1 microampere using a balance homodyne detector with a high dark current GeSi photodiode. The proposed QRNG has the potential for use in scenarios of moderate MHz random number generation speed, with low power, small volume, and low cost prioritized.
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Taxonomy
TopicsChaos-based Image/Signal Encryption · Fractal and DNA sequence analysis · Neural Networks and Reservoir Computing
