Sliced error correction is a scheme of CV-QKD post processing. Previous researches have focused on theoretically maximizing the net amount of information, i.e., mutual information between Alice and Bob. However, binary correction protocol(BCP) is not practically perfect. Therefore, we propose new criteria of dividing Alice's raw key space to lower error probabilities of slice bits. Consequently, the number of bits that can be practically used increases. Therefore, the net amount of information of our proposal is larger than that of previous method which theoretically maximizes the mutual information.
Sliced error correction is a scheme of CV-QKD post processing. Previous researches have focused on theoretically maximizing the net amount of information, i.e., mutual information between Alice and Bob. However, binary correction protocol(BCP) is not practically perfect. Therefore, we propose new criteria of dividing Alice's raw key space to lower error probabilities of slice bits. Consequently, the number of bits that can be practically used increases. Therefore, the net amount of information of our proposal is larger than that of previous method which theoretically maximizes the mutual information.
Information reconciliation is a crucial process in continuous-variable quantum key distribution(CV-QKD) systems. The slice error correction (SEC) reconciliation is appropriate for short-distance CV-QKD. However, the efficiency of SEC reconciliation schemes is significantly influenced by noisy channels with low signal-to-noise ratios (SNRs). In this paper, we present an enhanced information reconciliation scheme, termed AC-SEC reconciliation, which adds the new Gaussian sequences c with the original Gaussian sequences y before quantization in the SEC reconciliation to obtain secret key sequences with high variance and reduce noise interferences. Simulation results demonstrate that compared with the traditional SEC reconciliation, the proposed information reconciliation has lower frame error rate (FER) and higher reconciliation efficiency, which can increase the secret key rate (SKR).
Reconciliation is an essential procedure for continuous-variable quantum key distribution (CV-QKD). As the most commonly used reconciliation protocol in short-distance CV-QKD, the slice error correction (SEC) allows a system to distill more than 1 bit from each pulse. However, the quantization efficiency is greatly affected by the noisy channel with a low signal-to-noise ratio (SNR), which usually limits the secure distance to about 30 km. In this paper, an improved SEC protocol, named Rotated-SEC (RSEC), is proposed through performing a random orthogonal rotation on the raw data before quantization, and deducing a new estimator for the quantized sequences. Moreover, the RSEC protocol is implemented with polar codes. The experimental results show that the proposed protocol can reach up to a quantization efficiency of about 99%, and maintain at around 96% even at the relatively low SNRs (0.5,1), which theoretically extends the secure distance to about 45 km. When implemented with the polar codes with a block length of 16 Mb, the RSEC achieved a reconciliation efficiency of above 95%, which outperforms all previous SEC schemes. In terms of finite-size effects, we achieved a secret key rate of 7.83×10-3 bits/pulse at a distance of 33.93 km (the corresponding SNR value is 1). These results indicate that the proposed protocol significantly improves the performance of SEC and is a competitive reconciliation scheme for the CV-QKD system.
Some QKD protocols, as I will detail in Chapter 11, produce Gaussian key elements. The reconciliation methods of the previous chapter are, as such, not adapted to this case. In this chapter, we build upon the previous techniques to treat the case of continuous-variable key elements or, more generally, the case of non-binary key elements. In the first two sections, I describe two techniques to process non-binary key elements, namely sliced error correction and multistage soft decoding. Then, I conclude the chapter by giving more specific details on the reconciliation of Gaussian key elements. Sliced error correction Sliced error correction (SEC) is a generic reconciliation protocol that corrects strings of non-binary elements using binary reconciliation protocols as primitives [173]. The purpose of sliced error correction is to start from a list of correlated values and to give, with high probability, equal binary strings to Claude and Dominique. The underlying idea is to convert Claude's and Dominique's values into strings of bits, to apply a binary correction protocol (BCP) on each of them and to take advantage of all available information to minimize the number of exchanged reconciliation messages. It enables Claude and Dominique to reconcile a wide variety of correlated variables X and Y while relying on BCPs that are optimized to correct errors modeled by a binary symmetric channel (BSC). An important application of sliced error correction is to correct correlated Gaussian random variables, namely X ∼ N (0, Σ) and Y = X + ∈ with ∈ ∼ N (0, σ). This important particular case is needed for QKD protocols that use a Gaussian modulation of Gaussian states, as described in Chapter 11.
Reconciliation is an essential procedure for continuous-variable quantum key distribution (CV-QKD). As the most commonly used reconciliation protocol in short-distance CV-QKD, the slice error correction (SEC) allows a system to distill more than 1 bit from each pulse. However, its quantization efficiency is greatly affected by the noisy channel with a low signal-to-noise ratio (SNR), which usually limits the secure distance to about 30 km. In this paper, an improved SEC protocol, named Rotation-based SEC (RSEC), is proposed through performing a random orthogonal rotation on the raw data before quantization, and deducing a new estimator for quantized sequences. Moreover, the RSEC protocol is implemented with polar codes. Experimental results show that the proposed protocol can reach up to a quantization efficiency of about 99\%, and maintains at around 96\% even at the relatively low SNRs (0.5,1), which theoretically extends the secure distance to about 45 km. When implemented with the polar codes with block length of 16 Mb, the RSEC can achieve a reconciliation efficiency of above 95\%, which outperforms all previous SEC schemes. In terms of finite-size effects, we achieve a secret key rate of 7.83×10−3 bits/pulse at a distance of 33.93 km (the corresponding SNR value is 1). These results indicate that the proposed protocol significantly improves the performance of SEC and is a competitive reconciliation scheme for the CV-QKD system.
The performance of the information reconciliation phase is crucial for quantum key distribution (QKD). Reverse reconciliation (RR) is typically preferred over direct reconciliation (DR) because it yields higher secure key rates. However, a significant challenge in continuous-variable (CV) QKD with discrete modulations (such as QAM) is that Alice lacks soft information about the symbol decisions made by Bob. This limitation restricts error correction to hard-decoding methods, with low reconciliation efficiency. This work introduces a reverse reconciliation softening (RRS) procedure designed for CV-QKD scenarios employing discrete modulations. This procedure generates a soft metric that Bob can share with Alice over a public channel, enabling her to perform soft-decoding error correction without disclosing any information to a potential eavesdropper. After detailing the RRS procedure, we investigate how the mutual information between Alice's and Bob's variables changes when the additional metric is shared. We show numerically that RRS improves the mutual information with respect to RR with hard decoding, practically achieving the same mutual information as DR with soft decoding. Finally, we test the proposed RRS for PAM-4 signalling with a rate 1/2 binary LDPC code and bit-wise decoding through numerical simulations, obtaining more than 1dB SNR improvement compared to hard-decoding RR.
A challenging issue in continuous-variable quantum key distribution (CV-QKD) is the improvement in error correction efficiency because random number bits are encoded in a quadrature of faint optical pulses. Herein, we propose an error-control information reconciliation method for CV-QKD based on our recently proposed fixed-bit polar code. In the present scheme, unreliable bits are embedded in the prepared “fixed bits,” enabling the detection and reproduction of errors in these bits without error correction, effectively improving the error-correction efficiency. Numerical simulations demonstrate that the efficiency of the proposed scheme is 10% higher than that of polar code-based reconciliation without fixed bits.