A High Speed Integrated Quantum Random Number Generator with on-Chip Real-Time Randomness Extraction

• URL: http://arxiv.org/abs/2102.06238v1
• Date: Thu, 11 Feb 2021 19:55:29 GMT
• Title: A High Speed Integrated Quantum Random Number Generator with on-Chip Real-Time Randomness Extraction
• Authors: Francesco Regazzoni, Emna Amri, Samuel Burri, Davide Rusca, Hugo Zbinden, Edoardo Charbon
• Abstract summary: We present the first integrated Quantum RNG (QRNG) in a standard CMOS technology node. We show that co-integration of combinational logic, even of high complexity, does not affect the quality of randomness. Our CMOS QRNG can reach up to 400 Mbit/s throughput with low power consumption.
• Score: 2.759846687681801
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: The security of electronic devices has become a key requisite for the rapidly-expanding pervasive and hyper-connected world. Robust security protocols ensuring secure communication, device's resilience to attacks, authentication control and users privacy need to be implemented. Random Number Generators (RNGs) are the fundamental primitive in most secure protocols but, often, also the weakest one. Establishing security in billions of devices requires high quality random data generated at a sufficiently high throughput. On the other hand, the RNG should exhibit a high integration level with on-chip extraction to remove, in real time, potential imperfections. We present the first integrated Quantum RNG (QRNG) in a standard CMOS technology node. The QRNG is based on a parallel array of independent Single-Photon Avalanche Diodes (SPADs), homogeneously illuminated by a DC-biased LED, and co-integrated logic circuits for postprocessing. We describe the randomness generation process and we prove the quantum origin of entropy. We show that co-integration of combinational logic, even of high complexity, does not affect the quality of randomness. Our CMOS QRNG can reach up to 400 Mbit/s throughput with low power consumption. Thanks to the use of standard CMOS technology and a modular architecture, our QRNG is suitable for a highly scalable solution.

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