scholarly journals Practical reference-frame-independent quantum key distribution systems against the worst relative rotation of reference frames

2018 ◽  
Vol 2 (5) ◽  
pp. 055029 ◽  
Author(s):  
Chun-Mei Zhang ◽  
Jian-Rong Zhu ◽  
Qin Wang
2017 ◽  
Vol 381 (31) ◽  
pp. 2497-2501 ◽  
Author(s):  
Tanumoy Pramanik ◽  
Byung Kwon Park ◽  
Young-Wook Cho ◽  
Sang-Wook Han ◽  
Yong-Su Kim ◽  
...  

Cryptography ◽  
2017 ◽  
Vol 1 (3) ◽  
pp. 18 ◽  
Author(s):  
Anton Pljonkin ◽  
Konstantin Rumyantsev ◽  
Pradeep Singh

Entropy ◽  
2021 ◽  
Vol 23 (10) ◽  
pp. 1242
Author(s):  
Sihao Zhang ◽  
Jingyang Liu ◽  
Guigen Zeng ◽  
Chunhui Zhang ◽  
Xingyu Zhou ◽  
...  

In most of the realistic measurement device-independent quantum key distribution (MDI-QKD) systems, efficient, real-time feedback controls are required to maintain system stability when facing disturbance from either external environment or imperfect internal components. Traditionally, people either use a “scanning-and-transmitting” program or insert an extra device to make a phase reference frame calibration for a stable high-visibility interference, resulting in higher system complexity and lower transmission efficiency. In this work, we build a machine learning-assisted MDI-QKD system, where a machine learning model—the long short-term memory (LSTM) network—is for the first time to apply onto the MDI-QKD system for reference frame calibrations. In this machine learning-assisted MDI-QKD system, one can predict out the phase drift between the two users in advance, and actively perform real-time phase compensations, dramatically increasing the key transmission efficiency. Furthermore, we carry out corresponding experimental demonstration over 100 km and 250 km commercial standard single-mode fibers, verifying the effectiveness of the approach.


2014 ◽  
pp. 811-840
Author(s):  
K. E. Rumyantsev ◽  
D. M. Golubchikov

This chapter is an analysis of commercial quantum key distribution systems. Upon analysis, the generalized structure of QKDS with phase coding of a photon state is presented. The structure includes modules that immediately participate in the task of distribution and processing of quantum states. Phases of key sequence productions are studied. Expressions that allow the estimation of physical characteristics of optoelectronic components, as well as information processing algorithms impact to rate of key sequence production, are formed. Information security infrastructure can be utilized, for instance, to formulate requirements to maximize tolerable error level in quantum channel with a given rate of key sequence production.


2014 ◽  
Vol 51 (9) ◽  
pp. 090603
Author(s):  
王剑 Wang Jian ◽  
朱勇 Zhu Yong ◽  
周华 Zhou Hua ◽  
苏洋 Su Yang ◽  
朱波 Zhu Bo

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