2016
DOI: 10.1038/ncomms11345
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Realistic noise-tolerant randomness amplification using finite number of devices

Abstract: Randomness is a fundamental concept, with implications from security of modern data systems, to fundamental laws of nature and even the philosophy of science. Randomness is called certified if it describes events that cannot be pre-determined by an external adversary. It is known that weak certified randomness can be amplified to nearly ideal randomness using quantum-mechanical systems. However, so far, it was unclear whether randomness amplification is a realistic task, as the existing proposals either do not… Show more

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Cited by 61 publications
(102 citation statements)
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“…Thus, Equation 1holds. Several previous works, e.g., [15], [16], [17], considered similar settings as well.…”
Section: A Results and Contributionsmentioning
confidence: 99%
“…Thus, Equation 1holds. Several previous works, e.g., [15], [16], [17], considered similar settings as well.…”
Section: A Results and Contributionsmentioning
confidence: 99%
“…The first results [14][15][16] were obtained for a slightly stronger model of random sources, the so-called Santha-Vazirani sources, but subsequent results have claimed the possibility of amplifying even a min-entropy source [17,18]. However, all these protocols require multi-partite entanglement and are not robust to deviations from an ideal quantum state; it is currently an open problem to devise a randomness amplification protocol that can be implemented with existing devices.…”
Section: Resultsmentioning
confidence: 99%
“…This task is provably impossible with classical information processing, but it becomes possible if the weak source is used to choose the inputs (including the state) in a Bell test, whose outcomes are taken as the new random numbers [14][15][16][17][18]. One may wonder why the optimised approach of Pütz and coworkers has not yet been applied to improve the bounds on randomness amplification.…”
Section: Introductionmentioning
confidence: 99%
“…Starting with the work by Nisan and Ta-Shma [32] and followed by Trevisan's breakthrough result [47] there has been a lot of progress in this direction, and there are now many constructions that almost achieve the converse bounds in (4) (see the review articles [41,48]). For applications in classical and quantum cryptography (see, e.g., [30,39]), for constructing device independent randomness amplification and expansion schemes (see, e.g., [11,14,15,31]), and for applications in quantum Shannon theory (see, e.g., [9,19]) it is important to find out if extractor constructions also work when the input source is correlated to another (possibly quantum) system Q. That is, we would like that for all classical-quantum input density matrices ρ QN with conditional min-entropy H min (N |Q) ρ := − log p guess (N |Q) ρ ≥ k ,…”
Section: A Randomness Extractorsmentioning
confidence: 99%