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FPGA-Based Implementation of Multidimensional Reconciliation Encoding in Quantum Key Distribution.
Lu, Qing; Lu, Zhenguo; Yang, Hongzhao; Yang, Shenshen; Li, Yongmin.
Afiliação
  • Lu Q; State Key Laboratory of Quantum Optics and Quantum Optics Devices, Institute of Opto-Electronics, Shanxi University, Taiyuan 030006, China.
  • Lu Z; Collaborative Innovation Center of Extreme Optics, Shanxi University, Taiyuan 030006, China.
  • Yang H; State Key Laboratory of Quantum Optics and Quantum Optics Devices, Institute of Opto-Electronics, Shanxi University, Taiyuan 030006, China.
  • Yang S; Collaborative Innovation Center of Extreme Optics, Shanxi University, Taiyuan 030006, China.
  • Li Y; State Key Laboratory of Quantum Optics and Quantum Optics Devices, Institute of Opto-Electronics, Shanxi University, Taiyuan 030006, China.
Entropy (Basel) ; 25(1)2022 Dec 31.
Article em En | MEDLINE | ID: mdl-36673221
ABSTRACT
We propose a multidimensional reconciliation encoding algorithm based on a field-programmable gate array (FPGA) with variable data throughput that enables quantum key distribution (QKD) systems to be adapted to different throughput requirements. Using the circulatory structure, data flow in the most complex pipeline operation in the same time interval, which enables the structural multiplexing of the algorithm. We handle the calculation and storage of eight-dimensional matrices cleverly to conserve resources and increase data processing speed. In order to obtain the syndrome more efficiently, we designed a simplified algorithm according to the characteristics of the FPGA and parity-check matrix, which omits the unnecessary operation of matrix multiplication. The simplified algorithm could adapt to different rates. We validated the feasibility and high speed of the algorithm by implementing the multidimensional reconciliation encoding algorithm on a Xilinx Virtex-7 FPGA. Our simulation results show that the maximum throughput could reach 4.88 M symbols/s.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Entropy (Basel) Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Entropy (Basel) Ano de publicação: 2022 Tipo de documento: Article