Quantum key distribution rates from non-symmetric conic optimization
Departamento de Física Teórica, Atómica y Óptica, Universidad de Valladolid, 47011 Valladolid, Spain
| Published: | 2025-03-10, volume 9, page 1657 |
| Editor: | Pei Zeng |
| Eprint: | arXiv:2407.00152v3 |
| Doi: | https://doi.org/10.22331/q-2025-03-10-1657 |
| Citation: | Quantum 9, 1657 (2025). |
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Abstract
Computing key rates in quantum key distribution (QKD) numerically is essential to unlock more powerful protocols, that use more sophisticated measurement bases or quantum systems of higher dimension. It is a difficult optimization problem, that depends on minimizing a convex non-linear function: the (quantum) relative entropy. Standard conic optimization techniques have for a long time been unable to handle the relative entropy cone, as it is a non-symmetric cone, and the standard algorithms can only handle symmetric ones. Recently, however, a practical algorithm has been discovered for optimizing over non-symmetric cones, including the relative entropy. Here we adapt this algorithm to the problem of computation of key rates, obtaining an efficient technique for lower bounding them. In comparison to previous techniques it has the advantages of flexibility, ease of use, and above all performance.

Featured image: Benchmarking three techniques for computing key rates: the technique introduced here, labelled QKD cone, and the two closest competitors. Running time in seconds (logarithmic scale) as a function of the local state dimension for the mutually unbiased bases protocol.
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