2008
DOI: 10.1103/physreva.77.022319
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Exact minimum and maximum of yield with a finite number of decoy light intensities

Abstract: In this paper, for the decoy state method using a finite number of decoy light intensities, we present an improved upper and lower bounds for the asymptotic yield y n for n-photon states. In particular if all the light intensities are less than or equal to one, they are not only a lower or upper bound, but in fact are the exact minimum or maximum.

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Cited by 22 publications
(20 citation statements)
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“…3 bottom). The first two cases have a µ that can be considered practical to be used in protocols such as BB84 with decoy states [22,29]. As shown in Fig.…”
Section: Arxiv:150905692v2 [Quant-ph] 20 Jan 2016mentioning
confidence: 99%
“…3 bottom). The first two cases have a µ that can be considered practical to be used in protocols such as BB84 with decoy states [22,29]. As shown in Fig.…”
Section: Arxiv:150905692v2 [Quant-ph] 20 Jan 2016mentioning
confidence: 99%
“…Hwang proposed the decoy method to estimate the detection rate [7]. This method has been improved by many researchers [8][9][10][11][12][13][14][15][16]. In this method, in order to estimate the detection rates, the sender randomly chooses several kinds of pulses with different intensities.…”
mentioning
confidence: 99%
“…More specifically to the decoy state protocol configuration, this optimization results in recommend signal and decoy state MPNs of µ ∼ = 0.5 and ν ∼ = 0.1 because of implementation limitations in classical laser sources (as described in Section 2.2) [25]. Following this seminal work, many others have studied this optimization problem to more fully understand and bound the single photon estimate Q 1 , the negative impact of associated error rates e 1 and E µ , and expected fluctuations in commercially available laser sources [31][32][33][34][35][36][37][38][39][40]. Additionally, considerations for finite key size statistics (i.e., limitations due to the number of detections) have been carefully investigated by others [28,[41][42][43].…”
Section: Parameter Description Qmentioning
confidence: 99%