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Title: Implementation of a Quantum-Classical Hybrid Computational Framework on Mobile Wireless Systems

Stieve, Jonathan

Published Nov 14, 2025• 0 citations
Publisher

Abstract

Title: Implementation of a Quantum-Classical Hybrid Framework on Mobile Wireless Systems Abstract/Description: This repository presents the development and deployment of a fully functional quantum-classical hybrid computational system operating entirely on Android devices via wireless networks. The system integrates real-time harmonic modeling, recursive quantum-classical algorithms, and on-device data processing to execute simulations typically reserved for high-performance computing clusters. All modules are designed for modularity, reproducibility, and remote synchronization, providing a portable platform for experimentation, analysis, and educational demonstration. Researchers and developers can explore the code, methodologies, and datasets to validate the framework and extend its applications across quantum simulations, bioinformatics, and adaptive AI systems. Authors: Jonathan William Stieve, Omni Point LLC Keywords: Quantum-Classical Hybrid, Mobile Computing, Wireless Quantum Simulations, Harmonic Modeling, SZTM, Omni Point LLC

DOI
10.5281/zenodo.17605063

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Title: Implementation of a Quantum-Classical Hybrid Framework on Mobile Wireless Systems Abstract/Description: This repository presents the development and deployment of a fully functional quantum-classical hybrid computational system operating entirely on Android devices via wireless networks. The system integrates real-time harmonic modeling, recursive quantum-classical algorithms, and on-device data processing to execute simulations typically reserved for high-performance computing clusters. All modules are designed for modularity, reproducibility, and remote synchronization, providing a portable platform for experimentation, analysis, and educational demonstration. Researchers and developers can explore the code, methodologies, and datasets to validate the framework and extend its applications across quantum simulations, bioinformatics, and adaptive AI systems. Authors: Jonathan William Stieve, Omni Point LLC Keywords: Quantum-Classical Hybrid, Mobile Computing, Wireless Quantum Simulations, Harmonic Modeling, SZTM, Omni Point LLC
The Unified Harmonic Framework (UHF) and Stieve Zero-Point Topological Mathematica (SZTM) present a novel harmonic-based approach for unifying classical and quantum physics. This framework models all physical phenomena as nested harmonic structures, where classical deterministic behavior and quantum probabilistic behavior emerge naturally from frequency, phase, and topological interactions. UHF–SZTM supports hybrid quantum-classical simulations, enabling predictive computation without requiring full-scale quantum hardware. The framework has been validated across multiple domains, including quantum tunneling, interference, decoherence, wavefunction collapse, relativistic curvature, and gravitational-wave harmonics. This Zenodo entry provides the non-proprietary symbolic mathematics, conceptual operators, and methodology of UHF–SZTM, demonstrating the framework’s capability to model cross-domain physics while preserving proprietary computational elements. The work is suitable for researchers, quantum engineers, and AI practitioners exploring hybrid simulation, harmonic modeling, and enterprise-scale predictive systems.
This work presents the implementation of a Quantum-Classical Hybrid Computational Framework on Mobile Wireless Systems, exploring the integration of quantum-inspired algorithms with classical mobile computing architectures. The framework leverages hybrid computational strategies to optimize processing efficiency, data throughput, and resource allocation across distributed wireless networks. By bridging quantum algorithmic principles with practical mobile system constraints, this research demonstrates potential pathways for enhanced AI processing, secure communications, and real-time signal computation in next-generation mobile environments. The study provides both theoretical insights and practical implementations, offering a foundation for future research in hybrid quantum-classical mobile computing.
This manuscript provides a technical and instructional guide to the Unified Harmonic Framework (UHF) and Stieve Zero-Point Topological Mathematica (SZTM). It focuses on symbolic operators, harmonic state vectors, classical and quantum projection operators, and bridge mappings, offering a conceptual roadmap for hybrid classical–quantum modeling and predictive simulation. Proprietary computational transforms and recursion algorithms are withheld, ensuring intellectual property protection while providing researchers, AI engineers, and quantum innovators with a reproducible framework for understanding and applying harmonic integration concepts across multi-domain simulations
This manuscript presents the Harmonic Equations for Classical–Quantum Integration Code within the Unified Harmonic Framework (UHF) and Stieve Zero-Point Topological Mathematica (SZTM). The work provides a mathematical blueprint for integrating classical and quantum behaviors as unified harmonic structures, enabling predictive modeling and hybrid simulation without requiring specialized quantum hardware. Symbolic harmonic equations, projection operators, and bridge mappings are presented for conceptual understanding, while proprietary transforms and recursion rules remain protected. This resource serves as an instructional and reproducible foundation for researchers, AI engineers, and quantum innovators exploring hybrid quantum-classical computation, harmonic modeling, and multi-scale predictive systems.
This work introduces UHF-SZTM (Unified Harmonic Framework – Stieve Zero-Point Topological Mathematica), a harmonic–topological computational layer designed to enhance quantum hardware performance. UHF-SZTM integrates with existing quantum stacks to provide monotonic, noise-resistant harmonic operators and topological constraints that reduce entropy, compress circuit depth, and improve stability. Acting as a pre-quantum stabilizer, it shapes workloads into mathematically coherent forms, enabling accelerated convergence, better error resilience, and predictable scaling across NISQ devices. Applications span molecular simulation, quantum error correction, hybrid optimization, and quantum-assisted AI. Authored by Jonathan William Stieve, Omni Point LLC.
We present the UHF SZTM BorgAI OmniPoint Recursive Human–AI Co-Evolution framework for hybrid quantum–classical simulations on commercial hardware. Our work demonstrates how a CPU-first workflow can validate the robustness, stability, and reproducibility of quantum simulations before GPU acceleration enables real-time computation. All outputs—including eigenvalue and eigenvector overlaps, tunneling modifications, energy shifts, and stability indices—are fully logged and reproducible. This approach highlights the critical role of human-guided AI recursion in optimizing multi-domain scientific workflows and establishing a scalable, extensible platform for hybrid quantum–classical research. All results are testable, falsifiable, and publicly verifiable.