Theoretical analysis demonstrates polynomial-time evaluation in NP-hard combinatorial spaces, indicating an efficient geometric resolution to intractable optimization problems.
The exponential complexity of NP-hard combinatorial spaces—including spin glass ground states, large-scale traveling salesman problems, and global network properties—presents an intractable barrier in classical computation. This paper presents a unified topological framework resolving these discrete combinatorial explosions. By leveraging Rough Operator Algebra (ROA), we map discrete symmetric group permutations and combinatorial interaction trees into continuous gauge field manifolds. Through Non-Identity projections, exponential search paths are geometrically bundled into invariant topological cycles, collapsing O(N^2N) and NP-hard complexities into exact polynomial-time O(N^3k) evaluations (k ≪ N).
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Seonggil Lee (2026) studied this question.
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