2021
DOI: 10.1103/physreva.104.012406
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Finite-key analysis of loss-tolerant quantum key distribution based on random sampling theory

Abstract: This is a repository copy of Finite-key analysis of loss-tolerant quantum key distribution based on random sampling theory.

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Cited by 9 publications
(9 citation statements)
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“…In [32] it is shown how to use Eq. (A1) to derive an upper bound on the sum of conditional probabilities, namely…”
Section: Discussionmentioning
confidence: 99%
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“…In [32] it is shown how to use Eq. (A1) to derive an upper bound on the sum of conditional probabilities, namely…”
Section: Discussionmentioning
confidence: 99%
“…except with probability . Below we include for completeness the remaining bounds that we use in this work [31,32], being all of them held except with probability . In particular, an upper bound on the actual value Λ N is given by KU N, (S) :=…”
Section: Discussionmentioning
confidence: 99%
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“…IV C, we apply Kato's inequality to upper-bound S 3 in Eq. (40). We remark that the security proof is valid even if we instead use Azuma's inequality to bound S 3 , and in this case, the final expression of N U ph in Eq.…”
Section: Comparisons Of Key Rates With Azuma's and Kato's Inequalitiesmentioning
confidence: 94%
“…On the other hand, Kato's inequality is the recently found novel concentration inequality that always gives a tighter bound than Azuma's inequality and is employed in recent finite-key analyses [20,[39][40][41]]. Kato's inequality has a significant advantage over Azuma's one especially when the target sum of conditional expectations is much smaller than the number of trials.…”
Section: Abmentioning
confidence: 99%