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Cambridge University Press eBooks

Non-binary reconciliation

Gilles Van Assche

Published Jun 29, 2006• 0 citations
Publisher

Abstract

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.

DOI
10.1017/cbo9780511617744.011

Related papers

Reconciliation

Gilles Van Assche

Reconciliation is the technique needed to ensure that Claude's and Dominique's key elements are equal. Starting from outcomes of the random variables X and Y , they wish to agree on an equal string Ψ. In this chapter, I will first give some general properties and then overview and introduce several classes of reconciliation techniques. Problem description The goal of the legitimate parties is to distill a secret key, i.e., to end up with a shared binary string that is unknown to Eve. We assume as a convention that Claude's outcomes of X will determine the shared key K . The common string Ψ before privacy amplification can thus be expressed as a function Ψ( X ). Reconciliation consists in exchanging messages over the public classical authenticated channel, collectively denoted M , so that Dominique can recover Ψ from M and the outcomes of Y . If we denote as x 1… l a vector of l independent outcomes of X , the string can be compressed to obtain about lH (Ψ( X )) common uniform bits. As explained in Chapter 6, the impact of reconciliation on privacy amplification is a decrease of | M | bits in the key length, where | M | is the number of bits exchanged during reconciliation. Our goal is thus to maximize lH (Ψ( X ))-| M |, or if Ψ is given, to minimize the number | M | of disclosed bits. Characteristics of reconciliation protocols Before dealing with the details of reconciliation, let us here review some of its characteristics. First, reconciliation can be either one-way or interactive . The first case is obviously only possible with one-way secret-key distillation, as information is sent only from Claude to Dominique.

Cambridge University Press eBooks•Jun 29, 2006•0 citations

Reconciliation of a Quantum-Distributed Gaussian Key

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Two parties, Alice and Bob, wish to distill a binary secret key out of a list of correlated variables that they share after running a quantum key distribution (QKD) protocol based on continuous-spectrum quantum carriers. We present a novel construction that allows the legitimate parties to get equal bit strings out of correlated variables by using a classical channel, with as little leaked information as possible. This opens the way to securely correcting nonbinary key elements. In particular, the construction is refined to the case of Gaussian variables as it applies directly to recent continuous-variable protocols for QKD.

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Reverse Reconciliation of Quantum Gaussian Distributed Key

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The party Alice in a cryptograph system transmits coherent quantum signals to the party Bob,obtaining a series of correlated continuous Gaussian variables.The process to distill a binary key out of the correlated Gaussian variables that they share is called continuous-variable quantum key distribution(CVQKD).Reconciliation in CVQKD,i.e.,to correct differences between the correlated variables,is the key issue discussed in the paper.Based on both sliced error correction(SEC) protocol and multilevel coding/multistage decoding(MLC/MSD),reconciliation is implemented by LDPC code-based Slepian-Wolf CODEC.According to the proposed multilevel Tanner graph which depicts message transition of information,multistage iterative intrinsic and extrinsic information belief-propagation(LLR-BP) update formulae are derived.Three decoding modes of MSD are compared experimentally in convergence and performance.Simulation results show that the proposed algorithm can reconcile reliably 10000 continuous quantum variables with efficiency of 92.3% when SNR of the channel is above 2.5 dB.

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A novel slice error correction reconciliation for continuous-variable quantum key distribution

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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).

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Scalar Reconciliation for Gaussian Modulation of Two-Way Continuous-Variable Quantum Key Distribution.

László Gyöngyösi

The two-way continuous-variable quantum key distribution (CVQKD) systems allow higher key rates and improved transmission distances over standard telecommunication networks in comparison to the one-way CVQKD protocols. To exploit the real potential of two-way CVQKD systems a robust reconciliation technique is needed. It is currently unavailable, which makes it impossible to reach the real performance of a two-way CVQKD system. The reconciliation process of correlated Gaussian variables is a complex problem that requires either tomography in the physical layer that is intractable in a practical scenario, or high-cost calculations in the multidimensional spherical space with strict dimensional limitations. To avoid these issues, we propose an efficient logical layer-based reconciliation method for two-way CVQKD to extract binary information from correlated Gaussian variables. We demonstrate that by operating on the raw-data level, the noise of the quantum channel can be corrected in the scalar space and the reconciliation can be extended to arbitrary high dimensions. We prove that the error probability of scalar reconciliation is zero in any practical CVQKD scenario, and provides unconditional security. The results allow to significantly improve the currently available key rates and transmission distances of two-way CVQKD. The proposed scalar reconciliation can also be applied in one-way systems as well, to replace the existing reconciliation schemes.

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Practical method of sliced error correction protocol in CV-QKD

Joo Youn Park, Jeonghwan Shin, Jun Heo

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.

International Conference on Information and Communication Technology Convergence (ICTC)•Oct 1, 2016•1 citation
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 the technique needed to ensure that Claude's and Dominique's key elements are equal. Starting from outcomes of the random variables X and Y , they wish to agree on an equal string Ψ. In this chapter, I will first give some general properties and then overview and introduce several classes of reconciliation techniques. Problem description The goal of the legitimate parties is to distill a secret key, i.e., to end up with a shared binary string that is unknown to Eve. We assume as a convention that Claude's outcomes of X will determine the shared key K . The common string Ψ before privacy amplification can thus be expressed as a function Ψ( X ). Reconciliation consists in exchanging messages over the public classical authenticated channel, collectively denoted M , so that Dominique can recover Ψ from M and the outcomes of Y . If we denote as x 1… l a vector of l independent outcomes of X , the string can be compressed to obtain about lH (Ψ( X )) common uniform bits. As explained in Chapter 6, the impact of reconciliation on privacy amplification is a decrease of | M | bits in the key length, where | M | is the number of bits exchanged during reconciliation. Our goal is thus to maximize lH (Ψ( X ))-| M |, or if Ψ is given, to minimize the number | M | of disclosed bits. Characteristics of reconciliation protocols Before dealing with the details of reconciliation, let us here review some of its characteristics. First, reconciliation can be either one-way or interactive . The first case is obviously only possible with one-way secret-key distillation, as information is sent only from Claude to Dominique.
Two parties, Alice and Bob, wish to distill a binary secret key out of a list of correlated variables that they share after running a quantum key distribution (QKD) protocol based on continuous-spectrum quantum carriers. We present a novel construction that allows the legitimate parties to get equal bit strings out of correlated variables by using a classical channel, with as little leaked information as possible. This opens the way to securely correcting nonbinary key elements. In particular, the construction is refined to the case of Gaussian variables as it applies directly to recent continuous-variable protocols for QKD.
The party Alice in a cryptograph system transmits coherent quantum signals to the party Bob,obtaining a series of correlated continuous Gaussian variables.The process to distill a binary key out of the correlated Gaussian variables that they share is called continuous-variable quantum key distribution(CVQKD).Reconciliation in CVQKD,i.e.,to correct differences between the correlated variables,is the key issue discussed in the paper.Based on both sliced error correction(SEC) protocol and multilevel coding/multistage decoding(MLC/MSD),reconciliation is implemented by LDPC code-based Slepian-Wolf CODEC.According to the proposed multilevel Tanner graph which depicts message transition of information,multistage iterative intrinsic and extrinsic information belief-propagation(LLR-BP) update formulae are derived.Three decoding modes of MSD are compared experimentally in convergence and performance.Simulation results show that the proposed algorithm can reconcile reliably 10000 continuous quantum variables with efficiency of 92.3% when SNR of the channel is above 2.5 dB.
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).
The two-way continuous-variable quantum key distribution (CVQKD) systems allow higher key rates and improved transmission distances over standard telecommunication networks in comparison to the one-way CVQKD protocols. To exploit the real potential of two-way CVQKD systems a robust reconciliation technique is needed. It is currently unavailable, which makes it impossible to reach the real performance of a two-way CVQKD system. The reconciliation process of correlated Gaussian variables is a complex problem that requires either tomography in the physical layer that is intractable in a practical scenario, or high-cost calculations in the multidimensional spherical space with strict dimensional limitations. To avoid these issues, we propose an efficient logical layer-based reconciliation method for two-way CVQKD to extract binary information from correlated Gaussian variables. We demonstrate that by operating on the raw-data level, the noise of the quantum channel can be corrected in the scalar space and the reconciliation can be extended to arbitrary high dimensions. We prove that the error probability of scalar reconciliation is zero in any practical CVQKD scenario, and provides unconditional security. The results allow to significantly improve the currently available key rates and transmission distances of two-way CVQKD. The proposed scalar reconciliation can also be applied in one-way systems as well, to replace the existing reconciliation schemes.
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.