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Related Experiment Video

Updated: Nov 5, 2025

Measurement of Quantum Interference in a Silicon Ring Resonator Photon Source

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Published on: April 4, 2017

Quantum random number generator with discarding-boundary-bin measurement and multi-interval sampling.

Zhenguo Lu, Jianqiang Liu, Xuyang Wang

|May 14, 2021

Summary

Quantum random number generators (QRNGs) produce true random numbers from quantum vacuum fluctuations. New methods enhance randomness extraction, improving security against classical noise.

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Area of Science:

Quantum physics
Information security

Background:

Quantum random number generators (QRNGs) leverage quantum vacuum fluctuations for true randomness.
Classical noise contaminates QRNG output, compromising security.
Min-entropy quantifies randomness independent of side-channel information.

Purpose of the Study:

To improve extractable randomness from quantum vacuum-based QRNGs.
To enhance the security of QRNGs against classical noise.

Main Methods:

Proposed and demonstrated discarding-boundary-bin measurement to increase conditional min-entropy.
Implemented multi-interval sampling with multiple ADCs to overcome single-ADC limitations.
Combined both approaches for synergistic improvements.

Main Results:

Discarding-boundary-bin measurement boosts conditional min-entropy at low quantum-to-classical noise ratios.
Multi-interval sampling overcomes finite resolution and uniform sampling issues of single ADCs.
Maximum average conditional min-entropy reached 9.2 bits/sample, compared to 6.93 bits/sample with a single 8-bit ADC.

Conclusions:

The proposed methods significantly enhance randomness extraction in QRNGs.
These techniques improve the security and reliability of quantum random number generation.
Experimental demonstration validates the effectiveness of the combined approaches.