2020
DOI: 10.1103/physrevresearch.2.013016
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Efficient randomness certification by quantum probability estimation

Abstract: For practical applications of quantum randomness generation, it is important to certify and further produce a fixed block of fresh random bits with as few trials as possible. Consequently, protocols with high finite-data efficiency are preferred. To yield such protocols with respect to quantum side information, we develop quantum probability estimation. Our approach is applicable to device-independent as well as device-dependent scenarios, and it generalizes techniques from previous works [Miller and Shi, SIAM… Show more

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Cited by 41 publications
(40 citation statements)
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References 47 publications
(161 reference statements)
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“…For certifying randomness with respect to classical and quantum side information, we construct probability estimation factors (PEFs) 25 , 26 and quantum estimation factors (QEFs) 27 , 28 , respectively. Both a PEF and a QEF are non-negative functions of the input I and output O of a trial, denoted by F c ( I , O ) and F q ( I , O ).…”
Section: Resultsmentioning
confidence: 99%
See 3 more Smart Citations
“…For certifying randomness with respect to classical and quantum side information, we construct probability estimation factors (PEFs) 25 , 26 and quantum estimation factors (QEFs) 27 , 28 , respectively. Both a PEF and a QEF are non-negative functions of the input I and output O of a trial, denoted by F c ( I , O ) and F q ( I , O ).…”
Section: Resultsmentioning
confidence: 99%
“…We emphasize that PEFs and QEFs can use the result of each trial for both verifying and accumulating randomness. Both PEFs and QEFs have been constructed for certifying device-independent randomness 15 , 25 28 . In this work, we develop methods to construct PEFs and QEFs for the scenario of our interest.…”
Section: Resultsmentioning
confidence: 99%
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“…Recently, we also generalized exact probability estimation for certifying randomness with respect to quantum side information, see Refs. [29,30].…”
Section: Introductionmentioning
confidence: 99%