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Related Experiment Videos

640-Gbit/s fast physical random number generation using a broadband chaotic semiconductor laser.

Limeng Zhang1, Biwei Pan1, Guangcan Chen1

  • 1Key Laboratory of Semiconductor Materials Science, Institute of Semiconductors, Chinese Academy of Sciences, Beijing Key Laboratory of Low Dimensional Semiconductor Materials and Devices, Beijing, 100083, China.

Scientific Reports
|April 5, 2017
PubMed
Summary

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This study demonstrates an ultra-fast physical random number generator using a photonic integrated chaotic source. The device achieves high-speed random bit generation, passing rigorous NIST statistical tests for practical applications.

Area of Science:

  • Photonics
  • Quantum Information Science
  • Integrated Optics

Background:

  • Physical random number generators (PRNGs) are crucial for secure communications and simulations.
  • Existing PRNGs face limitations in speed and compactness.
  • Photonic chaotic systems offer a promising avenue for high-performance random number generation.

Purpose of the Study:

  • To demonstrate an ultra-fast physical random number generator.
  • To utilize a photonic integrated device for broadband chaotic signal generation.
  • To achieve high-rate random bit sequences with proven randomness.

Main Methods:

  • Implementation of a compact chaotic source using a monolithic integrated dual-mode amplified feedback laser (AFL) with self-injection.
  • Generation of a robust chaotic signal with RF frequency coverage above 50 GHz and ±3.6 dB flatness.

Related Experiment Videos

  • Post-processing of the digitized chaotic waveform, retaining 4 least significant bits (LSBs).

    • Main Results:

    • Realization of random sequences at a bit-rate up to 640 Gbit/s (160 GS/s × 4 bits).
    • Generation of a broadband chaotic signal with excellent frequency coverage and flatness.
    • Successful passage of all fifteen NIST statistical tests (NIST SP800-22).

    Conclusions:

    • The demonstrated photonic integrated device enables ultra-fast physical random number generation.
    • The generated random sequences exhibit high quality and pass stringent randomness tests.
    • This technology holds potential for various practical applications requiring high-speed random numbers.