{"authors":[],"components":[{"id":"root","name":"root","payload":{"cid":"bafybeiaolwj6pw5fozl7sqowtx4klwstlwoqomj3z5pvg6gx6upoc6jia4","path":"root"},"type":{".pdf":"pdf"}},{"id":"b3f26209-ca36-41fe-a242-96291da65179","name":"TernaryâHeXuePrimordialSpacetime3.0(1).pdf","payload":{"cid":"bafybeicg33ltr7nkojcev27t6p2lwqruqyxgegnf6tmfzeokhpb5lhdvsq","path":"root/TernaryâHeXuePrimordialSpacetime3.0(1).pdf","title":"Manuscript"},"starred":true,"subtype":"manuscript","type":"pdf"}],"defaultLicense":"CC BY","references":[],"researchFields":[],"title":" shuiquanPrimordialSpacetime3.0","version":"desci-nodes-0.2.0","description":"This paper focuses on \"The Three Elements Tradition·ZSF Primary Space-time 3.0\" and proposes a unified numerical simulation framework that takes the Zero-State Field (ZSF) as the primary substrate, integrating Taoist philosophy with modern physics and quantum computing. Centered on a ternary state (-1/0/1) logic system, it corresponds to the localized, delocalized, and equilibrium states of the ZSF field respectively, following the dynamic equilibrium principle of \"1+(-1)=0\" to break the collapse limitation of traditional binary logic when simulating vacuum fields.\n \nThe core algorithms of the framework include the EVOLVE_ZSF_ADAPT adaptive injection controller, FUSE entropy balance operator, and dark matter trigger module. It supports parameter space scanning (e.g., ξ perturbation strength, injection amplitude) and multidimensional visualization (parameter nebula diagram, injection waterfall plot, phase space trajectory), enabling dynamic presentation of the system's evolution from the initial state to the stable state. Through parameter configurations such as injection amplification and coupling gain adjustment, a 99.7% success rate in trit state triggering is achieved, and the optimal balance between convergence speed and stability is reached when Kp=0.05.\n \nExperimental verification forms a four-layer closed loop of \"microscopic-macroscopic-cosmic-code\": at the microscopic level, it verifies the quantum qubit gate fidelity (>99.99%) and consciousness synchronization rate (82% when Φ>0.42); at the cosmological level, it successfully reproduces the CMB cold spot observed by the Planck satellite and the LIGO gravitational wave delay phenomenon; at the engineering level, it provides complete runnable code (Python implementation), containerized configuration (Docker), and parallel computing scheme (MPI), supporting practical application scenarios such as carbon nanotube synthesis and dark matter anchoring.\n \nArchitecturally, it adopts a four-core collaborative design of \"quantum-photonic-neuromorphic-Ultimate Language\", realizing a one-to-one mapping between operators, hardware, language, and physical functions. Meanwhile, it embeds a direct mapping between Fuxi hexagrams and ZSF states, constructing a closed-loop system of \"symbol-code-physical state\". Open-source and reproducible, the framework features both theoretical unity and industrial-grade executability, providing a dynamic exploration tool with both cultural heritage and scientific rigor for fields such as cross-scale material synthesis, cosmological simulation, and consciousness science research."}