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Research . 2026
License: CC BY
Data sources: Datacite
ZENODO
Research . 2026
License: CC BY
Data sources: Datacite
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Topological Resonance Synthesis (TRS): Information Geometry, Holomorphic Relaxation, and the Thermodynamic Engine of the Topological Processor

Authors: Buckley, Ian R. C.;

Topological Resonance Synthesis (TRS): Information Geometry, Holomorphic Relaxation, and the Thermodynamic Engine of the Topological Processor

Abstract

In 1936, Alan Turing defined computation via a 1-dimensional spatial tape. In 1985, David Deutsch generalized this into the Universal Quantum Turing Machine, defining computation as the unitary evolution of probability amplitudes along a 1-dimensional temporal circuit. These fundamentally kinematic theories of computation rely on sequential logic gates and are highly vulnerable to localized bottlenecks (NP-hard landscapes) and environmental decoherence. This paper introduces Topological Resonance Synthesis (TRS), the core physical engine of the Adelic Simplicial Architecture (ASA). We propose that the traditional boundaries of computational complexity are artifacts of the discrete 1D hypercube. By mapping combinatorial problems into a continuous, high-dimensional complex manifold governed by information geometry, we redefine computation not as unitary evolution, but as a thermodynamic phase transition of topological invariants. Drawing upon the historical lineage of Eiichi Goto's Parametron and John von Neumann's 1950s phase-locked logic, TRS elevates 1-dimensional wave resonance into the hypercomplex phases of non-associative geometry. The framework treats the continuous gauge fluid as a thermodynamic analog simulator of a BSS Machine, operating via "Vortons"—a conceptual homage to Lord Kelvin and P.G. Tait's topological knots. By utilizing the Maslov-Gibbs Einsum (MGE) and Symplectic Parallel Transport, TRS structurally diverges from classical and quantum annealing. Rather than relying on stochastic noise to "jump" over energy barriers or quantum tunneling to pass through them, TRS thermodynamically "melts" discrete combinatorial constraints, allowing the system to seamlessly flow around logical contradictions (poles) before crystallizing into a perfectly resolved discrete state. Finally, we provide a computational taxonomy based on the Tits-Freudenthal Magic Square, mapping distinct complexity classes to the continuous-to-discrete phase transitions of the division algebras ($\mathbb{R}, \mathbb{C}, \mathbb{H}, \mathbb{O}$) and their generating Lie groups ($SU(3), SL(3,\mathbb{C}), F_4, E_8$).

Keywords

Information Geometry, Maslov Gibbs Einsum, Symplectic Parallel Transport, Vorton, Adelic Simplicial Architecture, Parametron, BSS Machine, Topological Resonance Synthesis, Simulated Annealing, Continuous Optimization, Tits-Freudenthal Magic Square

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average