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Note: Fully integrated 3.2 Gbps quantum random number generator with real-time extraction.

Xiao-Guang Zhang1, You-Qi Nie1, Hongyi Zhou2

  • 1Hefei National Laboratory for Physical Sciences at the Microscale and Department of Modern Physics, University of Science and Technology of China, Hefei, Anhui 230026, China.

The Review of Scientific Instruments
|August 1, 2016
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Summary
This summary is machine-generated.

We developed an integrated quantum random number generator (QRNG) using laser phase fluctuations. This system achieves ultra-high-speed random number generation at 3.2 Gbps by overcoming post-processing bottlenecks.

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Area of Science:

  • Quantum physics
  • Information technology

Background:

  • Quantum random number generators (QRNGs) leverage quantum phenomena for true randomness.
  • Laser phase fluctuations offer a promising source for high-speed random number generation.
  • Existing QRNGs face speed limitations due to inefficient randomness extraction post-processing.

Purpose of the Study:

  • To develop a real-time, fully integrated quantum random number generator (QRNG).
  • To overcome the speed bottleneck in randomness extraction for practical QRNG applications.
  • To achieve ultra-high-speed random number generation exceeding previous limitations.

Main Methods:

  • Utilized laser phase fluctuations as the source of quantum randomness.
  • Developed and implemented a pipeline extraction algorithm based on Toeplitz matrix hashing.
  • Integrated all QRNG components into a single module, including a stabilized interferometer and high-speed data acquisition.
  • Employed a high-speed field-programmable gate array (FPGA) for real-time data post-processing.

Main Results:

  • Achieved a final random number generation rate of 3.2 Gbps with real-time extraction.
  • Successfully integrated all necessary QRNG components into a compact module.
  • Demonstrated the effectiveness of the pipeline extraction algorithm in closing the speed gap.

Conclusions:

  • The integrated QRNG module effectively generates ultra-high-speed random numbers in real-time.
  • The proposed pipeline extraction algorithm significantly enhances the practical speed of QRNGs.
  • This work paves the way for high-performance random number generation in various applications.