Multidimensional Data Reconciliation for Continuous-Variable Quantum Key Distribution Based on CPU/GPU Heterogeneous Platform

Jianjian Mu; Dabo Guo; Shitu Ma; Chao He

doi:10.3788/LOP56.152702

Journals >Laser & Optoelectronics Progress >Volume 56 >Issue 15 >Page 152702 > Article

Laser & Optoelectronics Progress
Vol. 56, Issue 15, 152702 (2019)

Multidimensional Data Reconciliation for Continuous-Variable Quantum Key Distribution Based on CPU/GPU Heterogeneous Platform

Jianjian Mu, Dabo Guo^*, Shitu Ma, and Chao He

Author Affiliations

College of Physics and Electronic Engineering, Shanxi University, Taiyuan, Shanxi 030006, China

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DOI: 10.3788/LOP56.152702 Cite this Article Set citation alerts

Jianjian Mu, Dabo Guo, Shitu Ma, Chao He. Multidimensional Data Reconciliation for Continuous-Variable Quantum Key Distribution Based on CPU/GPU Heterogeneous Platform[J]. Laser & Optoelectronics Progress, 2019, 56(15): 152702 Copy Citation Text

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Fig. 1. Overall diagram of multidimensional reconciliation algorithm

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Fig. 2. Diagram of CUDA program execution process

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R_ate	CPU			CPU/GPU
R_ate	R_SN /dB	A_ve-time /s	S_peed /(kbit·s^-1)	R_SN /dB	A_ve-time /s	S_peed /(kbit·s^-1)
0.20	0.40	6.7027	30.55	0.45	1.2017	170.42
0.30	0.55	6.6238	30.92	0.55	1.2173	168.24
0.35	0.70	6.6042	31.01	0.70	1.2048	169.99
0.40	0.80	6.6016	31.02	0.90	1.2174	168.23
0.45	1.00	6.5714	31.16	1.10	1.1826	173.18
0.50	1.20	6.5535	31.25	1.20	1.2189	168.02

Table 1. Experimental results of CPU platform and CPU/GPU heterogeneous platform at different code rates

R_ate	CPU				CPU /GPU
R_ate	R_SN /dB	β /%	R_ate-bit /(kbit·s^-1)	D_istance /km	R_SN /dB	β /%	R_ate-bit /(kbit·s^-1)	D_istance /km
0.20	0.40	82.40	-21.83	48.00	0.45	74.62	-54.81	47.75
0.30	0.55	94.89	8.61	47.25	0.55	94.89	8.61	47.25
0.35	0.70	91.44	0.19	47.50	0.70	91.44	0.19	47.50
0.40	0.80	94.34	7.26	47.00	0.90	86.39	-11.16	45.50
0.45	1.00	90.00	-3.32	45.00	1.10	84.08	-17.77	44.50
0.50	1.20	87.91	-7.44	44.00	1.20	87.91	-7.44	44.00

Table 2. Experimental results about rate-bit of CPU platform and CPU/GPU platform at different code rates

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