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Updated: Jul 22, 2025
09:23
Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators
Published on: May 30, 2014
14.6K
Practical security analysis of a continuous-variable source-independent quantum random number generator based on
Optics Express
|July 21, 2023
Summary
Imperfections in quantum random number generators (QRNGs) can compromise security. This study analyzes how local oscillator fluctuations and phase modulator errors in heterodyne-based continuous-variable source-independent QRNGs reduce extractable randomness.
Area of Science:
- Quantum Information Science
- Cryptography
- Quantum Optics
Background:
- Continuous-variable source-independent quantum random number generators (CV-SI-QRNGs) offer theoretically secure random number generation.
- Practical implementations of CV-SI-QRNGs are susceptible to imperfections that can degrade security and reduce extractable randomness.
Purpose of the Study:
- To systematically analyze the impact of practical implementation imperfections on the security of heterodyne-based CV-SI-QRNGs.
- To quantify the effects of local oscillator (LO) fluctuations and phase modulator imperfections on extractable randomness.
Main Methods:
- Theoretical modeling of heterodyne-based CV-SI-QRNGs.
- Simulation analysis of LO fluctuation under imbalanced heterodyne detection.
- Investigation of the influence of degree of imbalance and LO fluctuation magnitude.
- Analysis of imperfect phase modulator effects.
Main Results:
- Overestimation of extractable randomness occurs when LO fluctuation is not considered, threatening system security.
- LO fluctuation and degree of imbalance significantly impact the evaluation of extractable randomness.
- Phase modulator imperfections lead to a reduction in extractable randomness.
Conclusions:
- Practical security of heterodyne-based CV-SI-QRNGs is significantly affected by implementation imperfections.
- Accurate security assessments require careful consideration of LO fluctuations and phase modulator errors.
- Addressing these imperfections is crucial for realizing secure and reliable quantum random number generation.
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