Memory-assisted quantum key distribution resilient against multiple-excitation effects. (29th December 2017)

• Record Type: Journal Article
• Authors: Lo Piparo, Nicolò; Sinclair, Neil; Razavi, Mohsen
• Is Part Of: Quantum science and technology. Volume 3:Number 1(2018)
• Publication Date: 2017-12-29
• Subjects: quantum key distribution (QKD) -- quantum memory -- single-photon source -- quantum networks -- quantum cryptography -- quantum communications; Quantum theory -- Periodicals; Quantum theory; Periodicals; 530
• DOI: 10.1088/2058-9565/aa9cfb
• Languages: English
• ISSNs: 2058-9565

Abstract

Abstract: Memory-assisted measurement-device-independent quantum key distribution (MA-MDI-QKD) has recently been proposed as a technique to improve the rate-versus-distance behavior of QKD systems by using existing, or nearly-achievable, quantum technologies. The promise is that MA-MDI-QKD would require less demanding quantum memories than the ones needed for probabilistic quantum repeaters. Nevertheless, early investigations suggest that, in order to beat the conventional memory-less QKD schemes, the quantum memories used in the MA-MDI-QKD protocols must have high bandwidth-storage products and short interaction times. Among different types of quantum memories, ensemble-based memories offer some of the required specifications, but they typically suffer from multiple excitation effects. To avoid the latter issue, in this paper, we propose two new variants of MA-MDI-QKD both relying on single-photon sources for entangling purposes. One is based on known techniques for entanglement distribution in quantum repeaters. This scheme turns out to offer no advantage even if one uses ideal single-photon sources. By finding the root cause of the problem, we then propose another setup, which can outperform single memory-less setups even if we allow for some imperfections in our single-photon sources. For such a scheme, we compare the key rate for different types of ensemble-based memories and show that certain classes of atomic ensembles can improve the rate-versus-distance behavior.