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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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QPP-RNG: A conceptual quantum system for true randomness.

Yurang Randy Kuang1

  • 1Quantropi (Canada), 1545 Carling Av., Suite 620, Ottawa, ON K1Z 8P9, Canada.

Physical Review. E
|December 23, 2025
PubMed
Summary

We introduce a quantum-inspired system for generating true random numbers by measuring permutation sorting processes. This method fuses deterministic and nondeterministic elements to create a scalable, entropy-rich random number generator.

Area of Science:

  • Computer Science
  • Information Theory
  • Quantum-Inspired Computing

Background:

  • True random number generators (TRNGs) are crucial for cryptography.
  • Existing TRNGs often rely on external entropy sources, posing security risks.
  • Quantum-inspired systems offer novel approaches to randomness generation.

Purpose of the Study:

  • To propose and demonstrate a novel quantum-inspired system for true random number generation.
  • To develop a software-based TRNG, the Quantum Permutation Pad RNG (QPP-RNG).
  • To investigate the entropy generation mechanism within the quasi-superposition quantum-inspired system (QSQS).

Main Methods:

  • Developed the quasi-superposition quantum-inspired system (QSQS) framework.
  • Implemented the QSQS as a Quantum Permutation Pad RNG (QPP-RNG) using software.

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  • Measured deterministic permutation counts (n_p) and nondeterministic sorting times (t).
  • Utilized CPU jitter, cache latency, and OS scheduling for entropy seeding.

    • Main Results:

    • The QSQS framework transforms skewed distributions of n_p and t into uniform outputs via modulo reduction.
    • QPP-RNG demonstrated convergence of output entropy towards theoretical maxima (approaching 8 bits).
    • Statistical tests (chi-squared) and visual plots confirmed the transformation from skewed to uniform distributions.

    Conclusions:

    • The QSQS provides a scalable and theoretically grounded method for engineering randomness.
    • The QPP-RNG effectively fuses deterministic and nondeterministic components for organic entropy emergence.
    • This approach offers a physics-based perspective for randomness generation, vital for the quantum-safe era.