Quantum neuroplasic tesseract framework

This work proposes an advanced quantum model integrating quantum mechanics, entanglement, and multi-dimensional phenomena for Q-stars and quantum computing. By reimagining the quantum architecture of entangled particles and neuroplasticity-like frameworks, the model hypothesizes a fourth-dimensional data system capable of achieving quantum introspection and proprioception Key innovations include replicating quantum interference processes and the interplay of invisible and visible quantum “doors” to enhance AI neural networks’ capacity for self-evolution. This theoretical framework aims to establish the foundation for quantum evolution in artificial intelligence, offering insights into robust, testable quantum-based computation.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-01
DOI
https://doi.org/10.5281/zenodo.14411246
Primary Topic
Subterranean biodiversity and taxonomy
Type
article
Field-Weighted Citation Impact
0.00
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article

Quantum neuroplasic tesseract framework

Zenodo (CERN European Organization for Nuclear Research)
Subterranean biodiversity and taxonomy
article

Quantum neuroplasic tesseract framework

article en

Abstract

This work proposes an advanced quantum model integrating quantum mechanics, entanglement, and multi-dimensional phenomena for Q-stars and quantum computing. By reimagining the quantum architecture of entangled particles and neuroplasticity-like frameworks, the model hypothesizes a fourth-dimensional data system capable of achieving quantum introspection and proprioception Key innovations include replicating quantum interference processes and the interplay of invisible and visible quantum “doors” to enhance AI neural networks’ capacity for self-evolution. This theoretical framework aims to establish the foundation for quantum evolution in artificial intelligence, offering insights into robust, testable quantum-based computation.

Zenodo (CERN European Organization for Nuclear Research)
Independent Dance (GB)
Openalex Percentile: Top 55%
Subterranean biodiversity and taxonomy
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