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arxiv: 1602.09140 · v1 · pith:HK7SNUVJnew · submitted 2016-02-29 · 🪐 quant-ph · cs.IT· math.IT

Information Reconciliation for Continuous-Variable Quantum Key Distribution using Non-Binary Low-Density Parity-Check Codes

classification 🪐 quant-ph cs.ITmath.IT
keywords codescontinuous-variabledistributionefficiencyinformationldpclow-densitymethod
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An information reconciliation method for continuous-variable quantum key distribution with Gaussian modulation that is based on non-binary low-density parity-check (LDPC) codes is presented. Sets of regular and irregular LDPC codes with different code rates over the Galois fields $GF(8)$, $GF(16)$, $GF(32)$, and $GF(64)$ have been constructed. We have performed simulations to analyze the efficiency and the frame error rate using the sum-product algorithm. The proposed method achieves an efficiency between $0.94$ and $0.98$ if the signal-to-noise ratio is between $4$ dB and $24$ dB.

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