Solving the Mass Gap Problem in Quantum Yang–Mills Theory through Collaborative Intelligence with AI by Unifying Advanced Mathematics, Quantum Computing, Physics, and Interaction with Dark Matter

This research presents a solution to the Yang-Mills Mass Gap Conjecture through collaborative intelligence involving artificial intelligence.The DeepSeek application with Deep Reasoning R1 was employed for writing and innovation, while ChatGPT was used to provide suggestions, recommendations, and result evaluations.The problem is solved via a comprehensive, multidimensional mathematicalphysical framework, integrating infinite classical and non-classical symmetry groups, high-precision quantum computing, spectral analysis and differential geometry, and experimental correlations with particle physics.The framework is built upon the following components:-

Publication Details

Journal
Middle East Journal of Scientific Publishing
Published
2025-05-06
DOI
https://doi.org/10.63085/mejsp/856390
Primary Topic
Computational Physics and Python Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Solving the Mass Gap Problem in Quantum Yang–Mills Theory through Collaborative Intelligence with AI by Unifying Advanced Mathematics, Quantum Computing, Physics, and Interaction with Dark Matter

Middle East Journal of Scientific Publishing
Computational Physics and Python Applications
article

Solving the Mass Gap Problem in Quantum Yang–Mills Theory through Collaborative Intelligence with AI by Unifying Advanced Mathematics, Quantum Computing, Physics, and Interaction with Dark Matter

article en

Abstract

This research presents a solution to the Yang-Mills Mass Gap Conjecture through collaborative intelligence involving artificial intelligence.The DeepSeek application with Deep Reasoning R1 was employed for writing and innovation, while ChatGPT was used to provide suggestions, recommendations, and result evaluations.The problem is solved via a comprehensive, multidimensional mathematicalphysical framework, integrating infinite classical and non-classical symmetry groups, high-precision quantum computing, spectral analysis and differential geometry, and experimental correlations with particle physics.The framework is built upon the following components:-

Middle East Journal of Scientific Publishing
Openalex Percentile: Top 94%
Computational Physics and Python Applications
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