Quantum random number generators

By Miguel Herrero-Collantes, Juan Carlos García-Escartín. 2016

709 citations recorded by the source corpus.

In mathematics and computer science, random numbers have the role of a resource for assisting proofs, making cryptography secure, and enabling computational protocols. This role motivates efforts to produce random numbers as a physical process. Potential physical sources abound, but arguably the most fundamental are those based on elementary quantum mechanical processes. This review discusses the current status of devices that generate quantum random numbers.

Subfields: Artificial Intelligence, Atomic and Molecular Physics, and Optics, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/3cc86552f5ef1668c9204c3633ab088fb3010a93

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

1. Xiongfeng Ma
2. Hoi-Kwong Lo
3. Jian-Wei Pan
4. Feihu Xu
5. Qiang Zhang
6. Lixing You
7. Pei Zeng
8. Hongyi Zhou

In Atomic and Molecular Physics, and Optics

1. Xiongfeng Ma
2. Jian-Wei Pan
3. Feihu Xu
4. Hoi-Kwong Lo
5. Qiang Zhang
6. Lixing You
7. Pei Zeng
8. Hongyi Zhou

In Computer Vision and Pattern Recognition

1. Hoi-Kwong Lo
2. Xiongfeng Ma

Citations in the corpus

• Advances in quantum cryptography (2019, neutral): “[714] M.”
• Secure quantum key distribution with realistic devices (2020, background): “…al., 2016) Quantum hacking attacks (Xu et al., 2015) Measurement-device-independent QKD (Hadfield, 2009; Zhang et al., 2015) Single-photon detector (Herrero-Collantes and Garcia-Escartin, 2017; Ma et al., 2016b) Quantum random number generator (Coles et al., 2017) Entropy uncertainty relation…”