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20242026
most citedIntensity correlations in decoy-state BB84 quantum key distribution systems

7 citations · 7 across the 5 of their papers we have counts for

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9 papers

quant-ph2026

Quantum Key Distribution Beyond Stationary Channels

Vaisakh Mannalath, Víctor Zapatero, Kiyoshi Tamaki +1

Quantum key distribution (QKD) over non-stationary channels, such as satellite links, is characterized by short, high-loss, and strongly fluctuating transmission windows that produ…

quant-ph2026

Finite-key security analysis of decoy-state QKD with source and detector imperfections

Xoel Sixto, Guillermo Currás-Lorenzo, Margarida Pereira +3

Decoy-state quantum key distribution (QKD) is the most widely adopted approach for overcoming the limitations of imperfect single-photon sources. However, existing security proofs…

quant-ph2026

Finite-key feasibility of geostationary quantum key distribution

Vaisakh Mannalath, Víctor Zapatero, Marcos Curty

Quantum key distribution (QKD) via geostationary Earth orbit (GEO) satellites offers a compelling route to continuous, continental-scale secure communications. However, operation i…

quant-ph20267 cited

Intensity correlations in decoy-state BB84 quantum key distribution systems

Daniil Trefilov, Xoel Sixto, Víctor Zapatero +3

The decoy-state method is a prominent approach to enhance the performance of quantum key distribution (QKD) systems that operate with weak coherent laser sources. Due to the limite…

quant-ph2026

Device-independent quantum cryptography with input leakage

Víctor Zapatero, Marcos Curty

Device-independence is the gold standard of quantum cryptography. To meet this standard, a central assumption is that no information leakage occurs during protocol execution. We re…

math.PR2025

Elementary Tail Bounds on the Hypergeometric Distribution

Vaisakh Mannalath, Víctor Zapatero, Marcos Curty

We use a simple method to derive two concentration bounds on the hypergeometric distribution. Comparison with existing results illustrates the advantage of these bounds across diff…