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Tribonacci Quantum Cosmology: Optimal Non-Antipodal Spherical Codes & Graphs

DOI: 10.4236/jqis.2019.91004, PP. 41-97

Keywords: Deep Learning, Hubble, General Relativity, Spacetime, Particle Physics, Darwinism

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Abstract:

Degrees of freedom in deep learning, quantum cosmological, information processing are shared and evolve through a self-organizing sequence of optimal \"\", non-antipodal \"\", spherical codes, \"\". This Tribonacci Quantum Cosmology model invokes four \"\" codes: 1-vertex, 3-vertex (great circle equilateral triangle), 4-vertex (spherical tetrahedron) and 24-vertex (spherical snub cube). The vertices are einselected centres of coherent quantum information that maximise their minimum separation and survive environmental decoherence on a noisy horizon. Twenty-four 1-vertex codes, \"\", self-organize into eight 3-vertex codes, \"\", which self-organize into one 24-vertex code, \"\", isomorphic to dimensions of 24-spacetime and 12(2) generators of SU(5). Snub cubical 24-vertex code chirality causes matter asymmetries and the corresponding graph-stress has normal and shear components relating to respective sides of Einstein’s tensor equivalence \"\". Cosmological scale factor and Hubble parameter evolution is formalized as an Ostwald-coarsening function of time, scaled by the tribonacci constant (T≈1.839) property of the snub cube. The 24-vertex code coarsens to a broadband 4-vertex code, isomorphic to emergent 4-spacetime and antecedent structures in 24-spacetime metamorphose to familiar 4-spacetime forms. Each of the coarse code’s 4-vertices has 6-fold parallelized degrees of freedom (conserved from the 24-vertex code), \"\", so 4-spacetime is properly denoted 4(6)-spacetime. Cosmological parameters are formalized: CMB

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