40Gbps Tri-type Quantum Random Number Generator
Jiapeng Zhao, Eneet Kaur, Michael Kilzer, Yihan Liu, Hassan Shapourian, Ramana Kompella, and Reza Nejabati

TL;DR
This paper presents a high-speed quantum random number generator capable of producing three different distribution types on demand, with over 42 Gbps secure bits for uniform and 14 Gbps for Gaussian distributions, suitable for diverse applications.
Contribution
It introduces a versatile quantum random number generator that can switch between multiple distribution types at over 60 Gbps, enhancing flexibility and efficiency over prior single-distribution systems.
Findings
Achieves over 60 Gbps raw bit rate with three distribution types.
Secure bit rates of over 42 Gbps for uniform and 14 Gbps for Gaussian distributions.
Successfully passes standard randomness tests (NIST, Dieharder).
Abstract
Traditional quantum random number generators can produce only one type of random number, while the optimal distribution of random numbers for different applications is usually distinct. The typical solution to this challenge is either using different quantum phenomena for different types of random number, or converting one distribution of random numbers to another type. However, the former solution requires multiple hardware systems, while the latter one sacrifices a lot of secure bits. Here, we develop a quantum random number generator that can on-demand produce three distribution types of random numbers at over 60 Gbits/s (Gbps) raw bits by measuring the quantum vacuum noise. After randomness extraction, over 42 Gbps secure bit rate is demonstrated for uniform random numbers, and over 14 Gbps secure bit rate for Gaussian random number. Due to the lack of Rayleigh randomness…
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Taxonomy
TopicsChaos-based Image/Signal Encryption · Quantum Computing Algorithms and Architecture · Quantum Information and Cryptography
