Genesis-D: A Clifford Cl(3,0) Thermodynamic Field Architecture for Cognitive Computing with Topological Memory

We present Genesis-D, a cognitive computing architecture grounded in Clifford algebra Cl(3,0) operating on an 8-plane spinor field evolving via nonlinear partial differential equations. The system maintains persistent topological memory through solitonic structures classified by winding number Q, distinguishing transient scalar blobs (Q=0) from stable vortices (Q=±1). A hyperchaotic attractor governs cognitive diversity with Lyapunov spectrum λ₁=+0.2635, λ₂=+0.1583, λ₃=+0.0161, yielding Kaplan-Yorke dimension D_KY=5.44. A Fourier Neural Operator provides learnable spectral adaptation per Clifford grade. We demonstrate a natural mapping of the Clifford Fourier Transform to wavelength-division multiplexed photonic hardware, thermodynamic stochastic processing units, and analog memristor crossbars, positioning Genesis-D as a candidate kernel architecture for next-generation non-von-Neumann thermodynamic processors.