TITLE:
It from Qutrit: Braided Loop Metaheuristic
AUTHORS:
Angus McCoss
KEYWORDS:
Quantum Information, Deep-Learning, Qutrit, Cosmology, Multiverse, Consciousness
JOURNAL NAME:
Journal of Quantum Information Science,
Vol.8 No.2,
June
15,
2018
ABSTRACT: Cosmologies are developed by physicists and
philosophers to explain our experiences of the evolving cosmos. Intelligent
deep-learning metaheuristics provide original frameworks for cosmologies which
are founded on quantum information. Mathematical standard models of physical
cosmology and particle physics formalize an abundance of observations, yet
there is no scientific consensus about how these models include our conscious
experiences and fundamental philosophies of information. Furthermore, Naturalness in physics is coupled to the
related problem of fine-tuning. To address these foundational problems, within
the quantum information paradigm, whilst aligning with
standard scientific models, I introduce a topological deep-learning cosmology
metaheuristic. Braided, 3-coloured, world-strands are proposed to be the
fundamental quantum information tracts (ethereal fibre bundles) of our evolving
Triuniverse. This Braided Loop Metaheuristic comprises eternally evolving
deep-learning feedback loops of superposed, braided, 3-coloured, quantum
information world-strands, which process (in 3-level qutrit states)
foundational properties coined Algebrus (labelled red), Algorithmus (labelled
green) and Geometrus (labelled blue). Braids split from 1→2→3 (in knot
representation respectively: closed loop→trefoil knot→Borromean loops) thence combine from 3→2→1 to form eternally
evolving deep-learning loops. This cosmology metaheuristic simultaneously
incorporates initial Laws of Form; Emergentism (from substrate Mathematics,
through Quantum Physics to Life); Consciousness (as a superposed triunity of
Implicate Order, Process Philosophy and Aesthetic Relationalism); Reductionism
(from Life, through Quantum Physics to Pure Mathematics expressed as Logical
Axioms, Laws of Parsimony and Ideal Form); and the Braided Loop Metaheuristic
reboots its eternal cycle with the initial Laws of Form. An agent’s personal anthropic Braided
Loop Metaheuristic represents one of
many-worlds, a meridional loop in a multiverse with horn-torus topology, where Nature’s physical parameters vary
equatorially. Fundamental information processing is
driven by ψ-Epistemic Drive, the
Natural appetite for information selected for advantageous knowledge. The
meridional loops are ψ-Epistemic
Field lines emanating from an epistemic dipole at the horn-torus core.
Equatorial parameter fine-tuning in many-worlds quantum physics and the
many-species of Darwinian Life are similar deep-learning optimizations in the Braided Loop Metaheuristic.
