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Fast physical random number generator using amplified spontaneous emission.

Caitlin R S Williams1, Julia C Salevan, Xiaowen Li

  • 1Department of Physics, University of Maryland, College Park, Maryland 20742, USA. willcrs@umd.edu

Optics Express
|December 18, 2010
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Summary

This study presents a 12.5 Gb/s physical random number generator (RNG) utilizing fiber amplifier light. The quantum-based system offers a high-speed, scalable solution using standard telecommunications components.

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Area of Science:

  • Quantum Physics
  • Telecommunications Engineering
  • Information Security

Background:

  • Physical Random Number Generators (RNGs) are crucial for secure cryptography.
  • Existing optical RNGs often rely on complex or expensive components like photon counters or chaotic lasers.
  • There is a need for high-speed, cost-effective RNGs using readily available technology.

Purpose of the Study:

  • To develop and demonstrate a high-speed physical random number generator (RNG).
  • To leverage spectrally-sliced incoherent light from a fiber amplifier for random number generation.
  • To utilize standard telecommunications-grade fiber optic components for scalability and cost-effectiveness.

Main Methods:

  • A 12.5 Gb/s physical random number generator (RNG) was implemented.
  • High-speed threshold detection was applied to spectrally-sliced incoherent light from a fiber amplifier.
  • The system's random bitstream quality was validated using industry-standard statistical tests.

Main Results:

  • A fluctuating signal with high amplitude and bandwidth was generated.
  • The system demonstrated a random bitstream quality verified by statistical tests.
  • The reliance on spontaneous emission ensures inherent randomness, rooted in quantum mechanics.

Conclusions:

  • The developed physical random number generator (RNG) is a high-speed, scalable, and cost-effective solution.
  • The system's design, using common telecommunications components, simplifies implementation compared to competing optical RNGs.
  • This approach offers a robust method for generating quantum-mechanically random numbers for various applications.