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
Year: 2025
Type: article
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
Language: English
Subfield: Nuclear and High Energy Physics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4410929814
