Wavelength attack recognition based on machine learning optical spectrum analysis for the practical continuous-variable quantum key distribution system

2020 ◽  
Vol 37 (6) ◽  
pp. 1689
Author(s):  
Zhe He ◽  
Yijun Wang ◽  
Duan Huang
2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Shengjun Ren ◽  
Shuai Yang ◽  
Adrian Wonfor ◽  
Ian White ◽  
Richard Penty

AbstractWe present an experimental demonstration of the feasibility of the first 20 + Mb/s Gaussian modulated coherent state continuous variable quantum key distribution system with a locally generated local oscillator at the receiver (LLO-CVQKD). To increase the signal repetition rate, and hence the potential secure key rate, we equip our system with high-performance, wideband devices and design the components to support high repetition rate operation. We have successfully trialed the signal repetition rate as high as 500 MHz. To reduce the system complexity and correct for any phase shift during transmission, reference pulses are interleaved with quantum signals at Alice. Customized monitoring software has been developed, allowing all parameters to be controlled in real-time without any physical setup modification. We introduce a system-level noise model analysis at high bandwidth and propose a new ‘combined-optimization’ technique to optimize system parameters simultaneously to high precision. We use the measured excess noise, to predict that the system is capable of realizing a record 26.9 Mb/s key generation in the asymptotic regime over a 15 km signal mode fibre. We further demonstrate the potential for an even faster implementation.


2018 ◽  
Vol 57 (06) ◽  
pp. 1 ◽  
Author(s):  
Jiawei Li ◽  
Ying Guo ◽  
Xudong Wang ◽  
Cailang Xie ◽  
Ling Zhang ◽  
...  

Author(s):  
Tobias A. Eriksson ◽  
Ruben S. Luís ◽  
Kadir Gümüş ◽  
Georg Rademacher ◽  
Benjamin J. Puttnam ◽  
...  

2007 ◽  
Vol 98 (3) ◽  
Author(s):  
Jérôme Lodewyck ◽  
Thierry Debuisschert ◽  
Raúl García-Patrón ◽  
Rosa Tualle-Brouri ◽  
Nicolas J. Cerf ◽  
...  

Photonics ◽  
2021 ◽  
Vol 8 (11) ◽  
pp. 511
Author(s):  
Duan Huang ◽  
Susu Liu ◽  
Ling Zhang

Quantum key distribution (QKD) offers information-theoretical security, while real systems are thought not to promise practical security effectively. In the practical continuous-variable (CV) QKD system, the deviations between realistic devices and idealized models might introduce vulnerabilities for eavesdroppers and stressors for two parties. However, the common quantum hacking strategies and countermeasures inevitably increase the complexity of practical CV systems. Machine-learning techniques are utilized to explore how to perceive practical imperfections. Here, we review recent works on secure CVQKD systems with machine learning, where the methods for detections and attacks were studied.


2016 ◽  
Author(s):  
Takuto Matsubara ◽  
Motoharu Ono ◽  
Yusuke Oguri ◽  
Tsubasa Ichikawa ◽  
Takuya Hirano ◽  
...  

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