The invention discloses a cross-domain digital intelligence interpretation and creation method based on a double-series formula, and solves the technical problems that existing cross-domain interpretation is not supported by a unified rule and creation results are high in redundancy. The method comprises the following three steps: during quantization, selecting a CSCQF cross-domain
consciousness mathematical quantization series formula, and standardizing and quantifying abstract cores such as
consciousness,
disease characteristics and cluster evolution logic to obtain a 3 * N-dimensional mathematical characteristic spectrum with a quantization error less than or equal to 5%; during deduction, the characteristic spectrum is substituted into the ultimate version of a too primary
Omega spectrum isomorphic series formula v12, a cross-domain homologous too primary
ground state rule is extracted through
tensor product
coupling and high-dimensional integration, and the rule
adaptation degree is larger than or equal to 90%; and outputting an essential interpretation report or an original result during landing. Accurate quantification and regularization creation of cross-domain objects are achieved, effectiveness of achievements can be verified, and the method is suitable for multiple fields such as mathematical argumentation,
clinical diagnosis and treatment, quantitative learning and AI artistic creation.