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Preprint . 2025
License: CC BY NC ND
Data sources: Datacite
ZENODO
Preprint . 2025
License: CC BY NC ND
Data sources: Datacite
ZENODO
Preprint . 2025
License: CC BY NC
Data sources: Datacite
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QuantoniumOS: A Hybrid Computational Framework for Quantum & Resonance Simulation (https://github.com/mandcony/quantoniumos)

Authors: Minier, Luis M;

QuantoniumOS: A Hybrid Computational Framework for Quantum & Resonance Simulation (https://github.com/mandcony/quantoniumos)

Abstract

QuantoniumOS is a deterministic operating system built on symbolic waveform logic, marking a radical departure from probabilistic inference and black-box neural models. It encodes logic into frequency-stable waveform signatures using a Resonance Fourier Transform (RFT) engine enabling fully transparent, reproducible symbolic execution. Key innovations: Symbolic XOR logic for post-quantum encryption Hybrid entropy generation and waveform hashing Topological geometric data storage Native bridge to browser and Python runtimes No neural nets, no hallucinations 100% human-auditable logic This version (v12) reflects the final enhanced IEEE-style whitepaper and links to the fully open source codebase, serving as a foundation for reproducible symbolic computing.

 Contact: luisminier79@gmail.com This document supports U.S. Patent Application No. 19/169,399, titled“A Hybrid Computational Framework for Quantum and Resonance Simulation.” The source code and research framework are open source and timestamped via:🔗 GitHub Repository: https://github.com/mandcony/quantoniumos

Keywords

Resonance Logic, Hybrid Computing, cybersecurity, Quantum Simulation, Geometric Data Storage, Post-Quantum Cryptography, Symbolic Encryption, resonance Fourier, Topological Computing, Symbolic Computing, symbolic resonance, Nonbinary Systems

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Average
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