Loss-tolerant measurement-device-independent quantum random number generation
Open accessAbstract
Quantum random number generators (QRNGs) output genuine random numbers based upon the uncertainty principle. A QRNG contains two parts in general—a randomness source and a readout detector. How to remove detector imperfections has been one of the most important questions in practical randomness generation. We propose a simple solution, measurement-device-independent QRNG, which not only removes all detector side channels but is robust against losses. In contrast to previous fully device-independent QRNGs, our scheme does not require high detector efficiency or nonlocality tests. Simulations show that our protocol can be implemented efficiently with a practical coherent state laser and other standard optical components. The security analysis of our QRNG consists mainly of two parts: measurement tomography and randomness quantification, where several new techniques are developed to characterize the randomness associated with a positive-operator valued measure.
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The analysis of measurement-device-independent QRNG combines measurement tomography with randomness quantification of positive-operator valued measure, and it does not assume to know the dimension of the measurement device.
“The analysis combines measurement tomography with randomness quanti fi cation of positive-operator valued measure, and it does not assume to know the dimension of the measurement device -i.e., the auxiliary ancilla may have an arbitrary dimension.”
From Quantum random number generation (2016) · cites this paper as [84]
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References 41 · Cited by 98
Research works printed but not linked: 6
- Knuth D E 2014 Art of Computer Programming, Volume 2: Seminumerical Algorithms (New York: Addison-Wesley) p 1
- Ma X, Yuan X, Cao Z, Qi B and Zhang Z 2015 arXiv:1510.08957 · arXiv
- Colbeck R 2009 Quantum and relativistic protocols for secure multi-party computation PhD Thesis 2009
- Cañas G, Cariñe J, Gómez E S, Barra J F, Cabello A, Xavier G B, Lima G and Pawlowski M 2014 arXiv:1410.3443 · arXiv
- Banik M 2014 arXiv:1401.1338 · arXiv
- Cañas G, Cariñe J, Gómez E S, Barra J F, CabelloA, Xavier G B, Lima G and Pawłowski M 2014 arXiv:1410.3443 · arXiv
- Authors
- Cao, Z., Zhou, H., & Ma, X.
- Affiliations
- Tsinghua University (CN)
- Corresponding author
- Ma, Xiongfeng
- ORCID
- Ma, Xiongfeng
- Venue
- New Journal of Physics
- Publisher
- IOP Publishing
- Published
- 2015-12-17
- Volume
- 17
- Issue
- 12
- Pages
- 125011
- ISSN
- 1367-2630 (ISSN-L)
- OpenAlex
- W2211675212
- Cited by
- 98
- References
- 41
- Citations by year
- 2026: 7 · 2025: 7 · 2024: 8 · 2023: 11 · 2022: 11 · 2021: 13 · 2020: 10 · 2019: 9 · 2018: 9 · 2017: 6 · 2016: 6 · 2014: 1
- FWCI
- 6.87
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- New Journal of Physics (publishedVersion, cc-by)
- arXiv (Cornell University) (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- arXiv (Cornell University)
- Funders
- 1000 Youth Fellowship program in China
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Quantum Information and Cryptography
- Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Quantum Mechanics and Applications
- Physical Sciences › Physics and Astronomy › Acoustics and Ultrasonics › Random lasers and scattering media
- Keywords
- quantum random number generation, loss tolerance, POVM, security analysis
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