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Algoritmo de compensación de retroalimentación adaptativa para generadores de números aleatorios cuánticos

Wei Deng1,2,3, Kun Chen1,2,3, Fei Hua1,2,3

  • 1Guangdong Provincial Key Laboratory of Nanophotonic Functional Materials and Devices, School of Optoelectronic Science and Engineering, South China Normal University, Guangzhou 510006, China.

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Este estudio introduce un algoritmo de compensación de retroalimentación adaptativa (AFCA) para mejorar los generadores de números aleatorios cuánticos (QRNG). AFCA mejora la aleatoriedad y la compatibilidad, aumentando significativamente el rendimiento de QRNG para la criptografía cuántica segura.

Palabras clave:
compensación por retroalimentación adaptativaajuste del parámetro dinámicopostprocesamientoGenerador cuántico de números aleatorios

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Área de la Ciencia:

  • Ciencia de la información cuántica
  • Criptografía
  • Física aplicada

Sus antecedentes:

  • Los generadores de números aleatorios cuánticos (QRNG) son cruciales para la criptografía cuántica.
  • Los QRNG existentes se enfrentan a desafíos con la mejora de la aleatoriedad y la compatibilidad posterior al procesamiento.

Objetivo del estudio:

  • Proponer un algoritmo de compensación de retroalimentación adaptativa (AFCA) para los QRNG.
  • Para abordar las limitaciones en la mejora de la aleatoriedad y la compatibilidad del algoritmo.
  • Mejorar la seguridad de los sistemas de comunicación cuántica.

Principales métodos:

  • Desarrolló un algoritmo de compensación de retroalimentación adaptativa (AFCA).
  • Implementación de retroalimentación de parámetros dinámicos y cifrado selectivo.
  • Se utilizó el análisis estadístico de desviación en tiempo real para el ajuste de la transformación no lineal.

Principales resultados:

  • AFCA conserva más del 50% de los bits originales mientras corrige los desequilibrios.
  • El valor p de la prueba Monobit para QRNGs continuos mejoró de 0.1376 a 0.9743.
  • La desviación de distribución 0/1 en los QRNG discretos se redujo del 7,9% al 0,5%.

Conclusiones:

  • AFCA mejora significativamente la aleatoriedad de QRNG y la compatibilidad posterior al procesamiento.
  • El algoritmo reduce las tasas de descarte de datos en más del 55% en comparación con los métodos tradicionales.
  • AFCA ofrece una solución robusta para la comunicación cuántica de alta seguridad y el cifrado de múltiples capas.