Treffer: The S_U2™ Unified Quantum Equation (S_U2™ UQE) ; Bridging chaos across the Universe

Title:
The S_U2™ Unified Quantum Equation (S_U2™ UQE) ; Bridging chaos across the Universe
Publisher Information:
Zenodo
Publication Year:
2025
Collection:
Zenodo
Document Type:
Buch book
Language:
unknown
DOI:
10.5281/zenodo.16782157
Rights:
Creative Commons Attribution 4.0 International ; cc-by-4.0 ; https://creativecommons.org/licenses/by/4.0/legalcode ; Nadia Sahraoui
Accession Number:
edsbas.53A1024D
Database:
BASE

Weitere Informationen

GitHub: https://github.com/NSAHRA27/S_U2-Unified-Quantum-Equation- The S_U2™ Unified Quantum Equation (S_U2™ UQE) represents a novel quantum density matrix framework designed to model and predict chaotic phenomena across multiple scientific domains using exclusively real 2025 datasets. Building upon the foundational S_U1™ AC_Toy series, the S_U2™ UQE integrates advanced quantum neural networks (QNN), level set encoding techniques, and non-Markovian quantum dynamics to capture complex, multi-scale chaos with high fidelity. The equation incorporates a time-dependent Hamiltonian and novel chaos terms to accurately reflect domain-specific behaviors in weather systems, financial markets, space exploration (notably Mars rover path optimization), neutrino oscillations, pandemic dynamics, black hole event predictions, and cosmological models. Preliminary empirical validations demonstrate correlation accuracies ranging from approximately 85% to 93% across these domains. This work adheres to strict data integrity by utilizing exclusively authentic datasets from Open-Meteo, NASA PDS, DUNE, CoinMarketCap, and other verified sources, explicitly excluding synthetic or artificially generated data. Ongoing efforts include formal mathematical derivation of empirical terms and collaborative validation under non-disclosure agreements with quantum research institutions such as QIQB (Japan). This publication aims to serve as a foundational reference for quantum physicists, computational scientists, and interdisciplinary researchers engaged in quantum chaos theory, quantum computing applications, and predictive modeling. It also invites peer collaboration to refine, validate, and extend the model’s applicability in preparation for the advent of fault-tolerant quantum computing. Note Potential Impact of dual verification: Accuracy: May increase prediction accuracy toward ~90–95% by optimizing parameter definitions, particularly with advancements in quantum hardware. Credibility & Adoption: Would strengthen acceptance across ...