Quantum random number generation
By Xiongfeng Ma, Xiao Yuan, Zhu Cao, Bing Qi, Zhen Zhang. npj Quantum Information, 2015
448 citations recorded by the source corpus.
Quantum physics can be exploited to generate true random numbers, which have important roles in many applications, especially in cryptography. Genuine randomness from the measurement of a quantum system reveals the inherent nature of quantumness—coherence, an important feature that differentiates quantum mechanics from classical physics. The generation of genuine randomness is generally considered impossible with only classical means. On the basis of the degree of trustworthiness on devices, quantum random number generators (QRNGs) can be grouped into three categories. The first category, practical QRNG, is built on fully trusted and calibrated devices and typically can generate randomness at a high speed by properly modelling the devices. The second category is self-testing QRNG, in which verifiable randomness can be generated without trusting the actual implementation. The third category, semi-self-testing QRNG, is an intermediate category that provides a tradeoff between the trustworthiness on the device and the random number generation speed.
Subfields: Artificial Intelligence, Atomic and Molecular Physics, and Optics
View Paper: https://www.semanticscholar.org/paper/e9d2779523e6f81823116e07da361766c2d3a943
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Xiongfeng Ma
- Hoi-Kwong Lo
- Jian-Wei Pan
- Feihu Xu
- Qiang Zhang
- Robert Bedington
- Sándor Imre
- Laszlo Gyongyosi
In Atomic and Molecular Physics, and Optics
- Xiongfeng Ma
- Jian-Wei Pan
- Feihu Xu
- Hoi-Kwong Lo
- Qiang Zhang
- Robert Bedington
- Sándor Imre
- Laszlo Gyongyosi
Citations in the corpus
- Secure quantum key distribution with realistic devices (2020, methodology): “Moreover, the entropy uncertainty relation, an important tool to analyze the security of QKD, can be seen in (Coles et al., 2017), and the quantum random number generator, a basic element in a practical QKD system, can be found in (Herrero-Collantes and GarciaEscartin, 2017; Ma et al., 2016b).”
- Progress in satellite quantum key distribution (2017, background): “A technology related to QKD is the quantum random number generator [121] used in the production of random bits that are not pre-existing.”
- A Survey on Quantum Channel Capacities (2018, methodology): “This random nature of quantum measure have been favourably used for providing high quality random number generator [249, 265], [316].”
- Advances in quantum cryptography (2019, unknown): “[715] X.”