Quantum Digitality: Toward a Substrate-Sensitive Theory of Computational Worlds

This paper introduces Quantum Digitality as a provisional term for investigating how the properties of computational worlds depend upon the informational and physical substrates through which computation is instantiated. The concept originates from a broader ontology in which digital systems are treated not merely as representations displayed by physical machines, but as operational worlds composed of persistent informational structures, transformations, agents, and relationships implemented through computation. Software systems, artificial intelligences, virtual worlds, and digital identities consequently occupy higher layers of abstraction while remaining dependent upon the computational affordances supplied by lower layers.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-29
DOI
https://doi.org/10.5281/zenodo.23045770
Primary Topic
Computability, Logic, AI Algorithms
Type
article
Field-Weighted Citation Impact
0.00
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Quantum Digitality: Toward a Substrate-Sensitive Theory of Computational Worlds

Aaron Samuel Herrera Hernández
Zenodo (CERN European Organization for Nuclear Research)
Computability, Logic, AI Algorithms
article

Quantum Digitality: Toward a Substrate-Sensitive Theory of Computational Worlds

Aaron Samuel Herrera Hernández
article en

Abstract

This paper introduces Quantum Digitality as a provisional term for investigating how the properties of computational worlds depend upon the informational and physical substrates through which computation is instantiated. The concept originates from a broader ontology in which digital systems are treated not merely as representations displayed by physical machines, but as operational worlds composed of persistent informational structures, transformations, agents, and relationships implemented through computation. Software systems, artificial intelligences, virtual worlds, and digital identities consequently occupy higher layers of abstraction while remaining dependent upon the computational affordances supplied by lower layers.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 9%
Computability, Logic, AI Algorithms
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