Tootfinder

Development of a Standardized Testing Environment for QRNGs based on Semiconductor Laser Phase Noise
Matthias Ostner, Innocenzo De Marco, Christian Roubal
https://arxiv.org/abs/2507.17471

Development of a Standardized Testing Environment for QRNGs based on Semiconductor Laser Phase Noise
Quantum random number generators (QRNGs) based on semiconductor laser phase noise are an inexpensive and efficient resource for true random numbers. Commercially available technology allows for designing QRNG setups tailored to specific use cases. However, it is important to constantly monitor whether the QRNG is performing according to the desired security standards in terms of independence and uniform distribution of the generated numbers. This is especially important in cryptographic applica…

Real-time vacuum-state quantum random number generator on a chip
Guan-Ru Qiao, Bing Bai, Zi-Xuan Weng, Han-Shen Chen, Wei Zheng, Zhi-Yuan Zheng, You-Qi Nie, Jun Zhang, Jian-Wei Pan
https://arxiv.org/abs/2509.13105

Real-time vacuum-state quantum random number generator on a chip
Quantum random number generators (QRNGs) produce true random numbers, which are guaranteed by the fundamental principles of quantum physics. Miniaturization of QRNGs is crucial for a wide range of communication and cryptography applications. Here, we first report a fully functional QRNG chip based on vacuum-state fluctuations, with dimensions of 16.6 mm x 7.8 mm. The quantum entropy source, which is achieved via hybrid photonic integration with a SiO2 waveguide, generates raw quantum random num…

Modulator-free, self-testing quantum random number generator
Ana Bl\'azquez-Co\'ido, Fadri Gr\"unenfelder, Anthony Martin, Raphael Houlmann, Hugo Zbinden, Davide Rusca
https://arxiv.org/abs/2507.12346

Modulator-free, self-testing quantum random number generator
Quantum random number generators (QRNGs) use the inherent unpredictability of quantum mechanics to generate true randomness, as opposed to classical random number generators. However, ensuring the authenticity of this randomness still requires robust verification. Self-testing QRNGs address this need by enabling the validation of the randomness produced based on the observed data from the experiment while requiring few assumptions. In this work, we present a practical, self-testing QRNG designe…

Statistical Invisibility of a Physical Attack on QRNGs After Randomness Extraction
Yifan Chen, Dong Wang, Yibo Zhao, Liang Cheng, Yi Zhang, Yang Zhang
https://arxiv.org/abs/2508.21498

Statistical Invisibility of a Physical Attack on QRNGs After Randomness Extraction
Current prevailing designs of quantum random number generators (QRNGs) designs typically employ post-processing techniques to distill raw random data, followed by statistical verification with suites like NIST SP 800-22. This paper demonstrates that this widely adopted practice harbors a critical flaw. We show that the powerful extraction process can create a false sense of security by perfectly concealing physical-layer attacks, rendering the subsequent statistical tests blind to a compromised…