Finite-Key Analysis of Quantum Key Distribution with Characterized Devices Using Entropy Accumulation
1Institute for Quantum Computing and Department of Physics and Astronomy, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada
2Department of Electrical & Computer Engineering, University of Illinois, Urbana, Illinois 61801, USA
3Department of Electrical & Computer Engineering, University of Toronto, Toronto, Ontario M5S 3G4, Canada
4School of Data Science, The Chinese University of Hong Kong, Shenzhen, Guangdong, 518172, China
| Published: | 2025-12-12, volume 9, page 1941 |
| Editor: | Anna Pappa |
| Eprint: | arXiv:2203.06554v2 |
| Doi: | https://doi.org/10.22331/q-2025-12-12-1941 |
| Citation: | Quantum 9, 1941 (2025). |
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Abstract
The Entropy Accumulation Theorem (EAT) was introduced to significantly improve the finite-size rates for device-independent quantum information processing tasks such as device-independent quantum key distribution (QKD). A natural question would be whether it also improves the rates for device-dependent QKD. In this work, we provide an affirmative answer to this question. We present new tools for applying the EAT in the device-dependent setting. We present sufficient conditions for the Markov chain conditions to hold as well as general algorithms for constructing the needed min-tradeoff function. Utilizing Dupuis' recent privacy amplification without smoothing result, we improve the key rate by optimizing the sandwiched Rényi entropy directly rather than considering the traditional smooth min-entropy. We exemplify these new tools by considering several examples including the BB84 protocol with the qubit-based version and with a realistic parametric down-conversion source, the six-state four-state protocol and a high-dimensional analog of the BB84 protocol.
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