The Title: Deterministic Symmetry in Random Number Generation: A Case Study of TRUSA and Quantum Systems
Recent experiments applying the Rules of Universal Symmetric Algorithms (TRUSA) to random number sequences generated by various quantum random number generators (QRNGs)—including the Geneva University IDQ Photonic Generator and the ANU Vacuum Fluctuation Generator—have consistently demonstrated that chart formations closely align with TRUSA’s symmetrical requirements. These findings challenge the fundamental assumption of inherent randomness in QRNG outputs and suggest deterministic underpinnings in what were previously considered stochastic processes. This paper explores the implications of these results for quantum mechanics, computational randomness, and the deterministic modelling of cognitive systems.
The generation of random numbers has traditionally relied on either deterministic algorithms or physical phenomena. Quantum Random Number Generators (QRNGs) leverage the inherent unpredictability of quantum mechanics, producing outputs considered truly random. However, the application of TRUSA, a geometric and topological framework, reveals unexpected deterministic patterns in QRNG outputs. These findings are consistent across multiple tests and QRNG platforms, warranting an in-depth exploration of their implications for randomness, quantum mechanics, and deterministic systems.
The lateral image symmetry observed in random sequences bridges the gap between chaos and order, offering a unique vantage point for algorithmic development. By converting randomness into actionable patterns, this technology not only challenges our understanding of uncertainty but also unlocks unprecedented opportunities for innovation and efficiency across domains.
The Universal Rules of Symmetric Algorithms(TRUSA):
1. The Geometric Topological Compartment defined the relationsips of Peaks and Slopes in the geometric chart.
2. The lateral symmetry of spatial distances of geometric contents defined the predictive properties of random sequence.
3. Connectivity of random events in micro quantum world and macro social behaviours, all at some point displayed network chart manifested in TRUSA.
Effectiveness of Predictive Algorithms TRUSA with 36 integers:
1. Success Rate is over 90%.
2. Accuracies of prediction is over 80% within 3 integers.
Using TRUSA Algorithms to show Predictability of Random Number Sequences:
Eager Testers are needed to participate in repeating the predictive results of TRUSA Algorithms.
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