Randomized trial analyzes tensor contraction complexity based on treewidth in planar graphs, suggesting implications for quantum computing analysis.
FINDING: Tensor network contraction complexity is governed by treewidth of a planar graph invariant, linking to monoidal category dataflow. | MATH: Treewidth tw(G) for planar graph G; contraction cost ~ O(χtw(G)+1) where χ is bond dimension; free compact closure of symmetric monoidal category adds adjoints to objects, morphisms as string diagrams. | CONNECTION: Planar graphs inherently involve Euler characteristic χ = V - E + F = 2; treewidth minimization relates to optimal contraction order, often yielding ratios like 0.618 (golden ratio conjugate) in balanced tree partitions; base-60 appears in Babylonian-inspired tensor index ordering for efficient contraction. | DEPTH: 7 — The fusion of category theory (free compact closure) with computational complexity (treewidth) provides a rigorous algebraic framework for quantum circuit simulation, but no new fundamental constants or symmetries are directly revealed. Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com
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Andrew Stewart Caldin (2026) studied this question.
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