Statistical Quantum Mechanics of the Random Permutation Sorting System (RPSS): A Self-Stabilizing True Uniform RNG
- URL: http://arxiv.org/abs/2509.10174v1
- Date: Fri, 12 Sep 2025 12:04:13 GMT
- Title: Statistical Quantum Mechanics of the Random Permutation Sorting System (RPSS): A Self-Stabilizing True Uniform RNG
- Authors: Randy Kuang,
- Abstract summary: We present the Random Permutation Sorting System (RPSS), a novel framework for true uniform randomness generation grounded in quantum mechanics.<n>RPSS is built on a pair of conjugate observables, the permutation count and the elapsed sorting time, whose heavy-tailed raw distributions synchronously converge to uniformity through modular reduction.<n>A practical implementation, QPP-RNG, demonstrates how intrinsic system jitter, arising from microarchitectural noise, memory latency, and scheduling dynamics, interacts with complexity to yield a compact, self-stabilizing entropy source.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: We present the Random Permutation Sorting System (RPSS), a novel framework for true uniform randomness generation grounded in statistical quantum mechanics. RPSS is built on a pair of conjugate observables, the permutation count and the elapsed sorting time, whose heavy-tailed raw distributions synchronously converge to uniformity through modular reduction. This mathematically proven convergence establishes RPSS as a True Uniform Random Number Generator (TURNG). A practical implementation, QPP-RNG, demonstrates how intrinsic system jitter, arising from microarchitectural noise, memory latency, and scheduling dynamics, interacts with combinatorial complexity to yield a compact, self-stabilizing entropy source. Empirical validation under the NIST SP 800-90B framework confirms rapid entropy convergence and statistically uniform outputs. RPSS thus defines a new class of quantum-inspired entropy engines, where randomness is simultaneously harvested from unpredictable system jitter and amplified by combinatorial processes, offering a robust, platform-independent alternative to conventional entropy sources.
Related papers
- Digital Coherent-State QRNG Using System-Jitter Entropy via Random Permutation [0.0]
We present a digital framework that replicates the statistical behavior of coherent-state quantum random number generation (QRNG)<n>Our approach transforms computational timing variations from hardware and operating system sources into permutation dynamics that generate Poisson-distributed numbers.<n>Our results establish that coherent-state QRNG functionality can be entirely realized through classical computational processes.
arXiv Detail & Related papers (2025-12-11T20:47:00Z) - Composition Law of Conjugate Observables in Random Permutation Sorting Systems [0.0]
We present the discovery of a fundamental composition law governing conjugate observables in the Random Permutation Sorting System (RPSS)<n>The law links the discrete permutation count Np and the continuous elapsed time T through a functional relation connecting the characteristic function of timing to the probability generating function of permutation counts.<n>This framework enables entropy purification, transforming microarchitectural timing fluctuations into uniform randomness via geometric convergence.
arXiv Detail & Related papers (2025-10-09T09:50:21Z) - QPP-RNG: A Conceptual Quantum System for True Randomness [0.0]
We show a conceptual quantum system for randomness generation built on measuring two conjugate observables of a permutation sorting process.<n>By analogy with quantum systems, these observables are linked by an uncertainty-like constraint.<n>We realize this framework concretely as emphQPP-RNG, a system-embedded, software-based true random number generator.
arXiv Detail & Related papers (2025-08-01T20:08:52Z) - IID-Based QPP-RNG: A Random Number Generator Utilizing Random Permutation Sorting Driven by System Jitter [0.8192907805418583]
We propose a groundbreaking random number generator that achieves uniform, independent, and identically distributed (IID) randomness.<n>Our design uses system jitter solely to generate ephemeral QPP pads and derives 8-bit outputs directly from permutation counts.<n>IID-based QPP-RNG achieves a min-entropy of 7.85-7.95 bits per byte from IID min-entropy estimate.
arXiv Detail & Related papers (2025-02-25T19:53:54Z) - PAPAL: A Provable PArticle-based Primal-Dual ALgorithm for Mixed Nash Equilibrium [58.26573117273626]
We consider the non-AL equilibrium nonconptotic objective function in two-player zero-sum continuous games.
Our novel insights into the particle-based algorithms for continuous distribution strategies are presented.
arXiv Detail & Related papers (2023-03-02T05:08:15Z) - Sampled Transformer for Point Sets [80.66097006145999]
sparse transformer can reduce the computational complexity of the self-attention layers to $O(n)$, whilst still being a universal approximator of continuous sequence-to-sequence functions.
We propose an $O(n)$ complexity sampled transformer that can process point set elements directly without any additional inductive bias.
arXiv Detail & Related papers (2023-02-28T06:38:05Z) - Simplex Random Features [53.97976744884616]
We present Simplex Random Features (SimRFs), a new random feature (RF) mechanism for unbiased approximation of the softmax and Gaussian kernels.
We prove that SimRFs provide the smallest possible mean square error (MSE) on unbiased estimates of these kernels.
We show consistent gains provided by SimRFs in settings including pointwise kernel estimation, nonparametric classification and scalable Transformers.
arXiv Detail & Related papers (2023-01-31T18:53:39Z) - Importance sampling for stochastic quantum simulations [68.8204255655161]
We introduce the qDrift protocol, which builds random product formulas by sampling from the Hamiltonian according to the coefficients.
We show that the simulation cost can be reduced while achieving the same accuracy, by considering the individual simulation cost during the sampling stage.
Results are confirmed by numerical simulations performed on a lattice nuclear effective field theory.
arXiv Detail & Related papers (2022-12-12T15:06:32Z) - Testing randomness of series generated in Bell's experiment [62.997667081978825]
We use a toy fiber optic based setup to generate binary series, and evaluate their level of randomness according to Ville principle.
Series are tested with a battery of standard statistical indicators, Hurst, Kolmogorov complexity, minimum entropy, Takensarity dimension of embedding, and Augmented Dickey Fuller and Kwiatkowski Phillips Schmidt Shin to check station exponent.
The level of randomness of series obtained by applying Toeplitz extractor to rejected series is found to be indistinguishable from the level of non-rejected raw ones.
arXiv Detail & Related papers (2022-08-31T17:39:29Z) - A tunable quantum random number generator based on a fiber-optical
Sagnac interferometer [0.0]
Quantum random number generators (QRNG) are based on the naturally random measurement results performed on individual quantum systems.
We demonstrate a branching-path photonic QRNG implemented with a Sagnac interferometer with a tunable splitting ratio.
arXiv Detail & Related papers (2022-05-09T18:00:08Z) - Stability and Identification of Random Asynchronous Linear
Time-Invariant Systems [81.02274958043883]
We show the additional benefits of randomization and asynchrony on the stability of linear dynamical systems.
For unknown randomized LTI systems, we propose a systematic identification method to recover the underlying dynamics.
arXiv Detail & Related papers (2020-12-08T02:00:04Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.