A High-Speed FPGA Implementation of the Multidimensional Reconciliation for Continuous Variables Quantum Key Distribution

For continuous variable quantum key distribution (CV-QKD) protocol, information reconciliation (IR) is a key step that can significantly affect the performance of CV-QKD. Because of multidimensional reconciliation suitable for low signal-to-noise ratio (SNR) and long transmission distance scenario, a parallel architecture for the multidimensional reconciliation in CV-QKD implemented on field programmable gate array (FPGA) is proposed in this paper. Using a binarized d-dimensional spherical vector c and a parallel computation of the coefficient a and rotation matrix M, the parallel architecture achieves 45.635 Mbps processing throughput at 250 MHz in the system clock, with frame error rate (FER) less than 0.001 when the SNR exceeds 0.71 dB.

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Published
2024-11-13
DOI
https://doi.org/10.1109/ccisp63826.2024.10765578
Citations
1
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
0.35

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article

A High-Speed FPGA Implementation of the Multidimensional Reconciliation for Continuous Variables Quantum Key Distribution

Z. Jin, Genlong Chen, Xueqin Jiang, Jialu Sun et al.
1 citations
Quantum Computing Algorithms and Architecture
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article

A High-Speed FPGA Implementation of the Multidimensional Reconciliation for Continuous Variables Quantum Key Distribution

Z. Jin, Genlong Chen, Xueqin Jiang, Jialu Sun, Yong Chen, Hao Cheng, Lihong Ren
article en
1 citations

Abstract

For continuous variable quantum key distribution (CV-QKD) protocol, information reconciliation (IR) is a key step that can significantly affect the performance of CV-QKD. Because of multidimensional reconciliation suitable for low signal-to-noise ratio (SNR) and long transmission distance scenario, a parallel architecture for the multidimensional reconciliation in CV-QKD implemented on field programmable gate array (FPGA) is proposed in this paper. Using a binarized d-dimensional spherical vector c and a parallel computation of the coefficient a and rotation matrix M, the parallel architecture achieves 45.635 Mbps processing throughput at 250 MHz in the system clock, with frame error rate (FER) less than 0.001 when the SNR exceeds 0.71 dB.

Donghua University (CN)
Science and Technology Commission of Shanghai Municipality, National Center of Competence in Research Quantum Science and Technology
Reduced inequalities
Openalex Percentile: Top 30%
Quantum Computing Algorithms and Architecture
0.35
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