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Low Rate Protograph-Based LDPC Codes for Continuous Variable Quantum Key Distribution (2107.06242v1)

Published 13 Jul 2021 in cs.IT, cs.CR, and math.IT

Abstract: Error correction plays a major role in the reconciliation of continuous variable quantum key distribution (CV-QKD) and greatly affects the performance of the system. CV-QKD requires error correction codes of extremely low rates and high reconciliation efficiencies. There are only very few code designs available in this ultra low rate regime. In this paper, we introduce a method for designing protograph-based ultra low rate LDPC codes using differential evolution. By proposing type-based protographs, a new way of representing low rate protograph-based LDPC codes, we drastically reduce the complexity of the protograph optimization, which enables us to quickly design codes over a wide range of rates. We show that the codes resulting from our optimization outperform the codes from the literature both in regards to the threshold and in finite-length performance, validated by Monte-Carlo simulations, showing gains in the regime relevant for CV-QKD.

Citations (5)

Summary

  • The paper introduces type-based protographs to simplify the complex search space in designing ultra low rate LDPC codes for CV-QKD.
  • It employs differential evolution to optimize the design, achieving up to a 0.12 dB performance improvement over existing methods.
  • Monte-Carlo simulations validate that the optimized codes enhance error correction efficiency, boosting the overall secret key rate in practical implementations.

Overview of "Low Rate Protograph-Based LDPC Codes for Continuous Variable Quantum Key Distribution"

The paper "Low Rate Protograph-Based LDPC Codes for Continuous Variable Quantum Key Distribution" by Kadir Gümüş and Laurent Schmalen addresses a dense field in coding theory, focusing on the reconciliation phase of continuous variable quantum key distribution (CV-QKD). In CV-QKD, secret key rates (SKR) critically depend on the efficiency of error correction. The authors turn their attention to the limited landscape of ultra low rate low-density parity-check (LDPC) code designs, proposing a novel methodology for their optimization. The proposed approach leverages differential evolution to design protograph-based LDPC codes with minimized complexity. A new representation termed as type-based protographs aims to streamline the optimization of such codes, offering improvements in both theoretical thresholds and practical finite-length performance.

Key Contributions and Methodology

The primary contribution of this paper is the introduction of type-based protographs (TBPs) to substantially reduce the complexity inherent in the design of protograph-based LDPC codes, allowing them to accommodate the ultra low rate requirements of CV-QKD systems. Prior methods have faced challenges with scalability due to the quadratic increase in the protograph's size with decreasing code rates, leading to expansive search spaces that complicate conventional optimization techniques.

TBPs partition the protograph's rows and columns into a set of types, drastically simplifying the search space. This partitioning leads to a more tractable optimization problem for ultra low rate codes. The authors apply differential evolution to optimize these TBPs, demonstrating the ability to design efficient LDPC codes spanning a wide range of rates.

Numerical Results and Validation

The research asserts that the codes derived from TBP optimization outperform existing literature, substantiated by Monte-Carlo simulations. Specifically, the codes show up to a 0.12 dB performance advantage over previously established codes at critical operational thresholds for CV-QKD. Analysis compared against benchmarks like MET-LDPC codes illustrates the potential of the proposed method in producing codes with robust secret key rate (SKR) performance.

Implications and Future Directions

This work contributes to CV-QKD by enabling more efficient use of LDPC codes in reconciliation, which is pivotal for enhancing SKR. The reduction in error correction complexity without compromising performance opens opportunities for practical implementations of CV-QKD systems over longer distances and under noisier channels.

The introduction of the expanded TBP suggests a pathway to bridge this optimization approach into higher rate regimes, albeit less effectively compared to ultra low rates. While current contexts are primarily concerned with low rate regimes, future explorations could consider adaptations and extensions of these methodologies to other applications requiring flexible and efficient error correction at varied rates.

Conclusion

The research by Gümüş and Schmalen introduces advancements in the design and optimization of LDPC codes for CV-QKD via the type-based protograph framework. Their findings not only demonstrate a significant performance improvement in threshold and finite-length tests but also suggest that simplified representations like TBPs could facilitate scalable, efficient block code designs for complex communication systems. This innovation heralds further exploration into broader applications within digital communications and cryptography where nuanced control over code rates is required.

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