2022
DOI: 10.48550/arxiv.2203.00261
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A Comprehensive Review of Quantum Random Number Generators: Concepts, Classification and the Origin of Randomness

Abstract: Random numbers are central to cryptography and various other tasks. The intrinsic probabilistic nature of quantum mechanics has allowed us to construct a large number of quantum random number generators (QRNGs) that are distinct from the traditional true number generators. This article provides a review of the existing QRNGs with a focus on various possible features of QRNGs (e.g., self-testing, device independence, semi-device independence) that are not achievable on the classical world. It also discusses the… Show more

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Cited by 9 publications
(13 citation statements)
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References 156 publications
(237 reference statements)
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“…also be realized in a non-classical toy theory [64] which has only the feature of uncertainty relations between incompatible observables. This is similar to the availability of a wide variety of practical QKD systems [32,33] and quantum random number generators [36,38] with different levels of security aspects. The unconditional security can be derived from the use of only 'incompatibility and uncertainty' feature of quantum mechanics, but the device independence security can be derived only through the use of features such as 'entanglement' and 'non-locality'.…”
mentioning
confidence: 84%
See 1 more Smart Citation
“…also be realized in a non-classical toy theory [64] which has only the feature of uncertainty relations between incompatible observables. This is similar to the availability of a wide variety of practical QKD systems [32,33] and quantum random number generators [36,38] with different levels of security aspects. The unconditional security can be derived from the use of only 'incompatibility and uncertainty' feature of quantum mechanics, but the device independence security can be derived only through the use of features such as 'entanglement' and 'non-locality'.…”
mentioning
confidence: 84%
“…Since quantum mechanics has intrinsic randomness associated with it [34], so the quantum systems can be used to generate truly random numbers [35]. Currently, the quantum technology is quite mature that we can generate very high quality random numbers at great speeds [36,37,38,39] for a wide variety of applications including secure communication, e-commerce, multi-party computations and lottery. In fact, there are many commercial quantum random number generator (QRNG) devices available in the market such as ID Quantique [40], Toshiba [41], PicoQuant [42], MPD [43] etc.…”
Section: Bb84 Based Quantum Lottery Schemementioning
confidence: 99%
“…Hence, such a simple scheme can be used to generate a true random number sequence. Currently, there are various ways via which the true random numbers can be generated using the optical devices as well as other implementations with many commercially available products too [30,50]. The generation rates of the random numbers can vary for the devices but it can go to the order of Gbps.…”
Section: Quantum Random Number Generatormentioning
confidence: 99%
“…Interestingly, we can have semi self testing QRNGs which have good credibility as well as better generation rates [12,51]. Currently, there are many off the shelf commercial trusted QRNGs [36,50], such as ID Quantique, Toshiba, PicoQuant, qStream with excellent generation speeds, while the self testing and semi self testing devices are still at the experimental stages.…”
Section: Quantum Random Number Generatormentioning
confidence: 99%
“…Different from the PRNG, true random number generators (TRNGs) extract randomness from physical random process [5]. As an important type of TRNGs, the QRNG [27] is based on the intrinsic randomness of fundamental quantum processes including quantum phase fluctuations [6]- [10], photon arrival times [11]- [13], stimulated Raman scattering [14], vacuum fluctuations [15], [16], spontaneous emission noise [17]- [19] and photon polarization state [20], [21].…”
Section: Introductionmentioning
confidence: 99%