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Graph-Kolmogorov-Arnold Networks with Dense Associative Memory

Michael I Aksman

Published Jul 12, 2026• 0 citations
Publisher

Abstract

We present a unied architecture combining KolmogorovArnold Networks and Dense Associative Memory on discrete spectral graphs, in which computation is conned to a protected low-frequency subspace by a rigid spectral projectorreplacing active gate-based error correction with passive, hardware-enforced mode suppression. Four results carry the framework. (I)The graph Laplacian generates the native unitary evolution U = e−iL∆t, and an orthogonal spectral projector P=Pk≤M |φk⟩⟨φk| truncates the Hilbert space to the protected span. (II)The Projection Stability Theorem: under xn+1 = P F(xn) for any nonlinearity F, the dynamicsremain conned with exactly zero leakageby idempotency, (I −P)xn+1 = (I −P)P F(xn) = 0,an algebraic identity, not an approximation. (III) Graph-KAN layers place trainable B-splinefunctions on the edges rather than static weights on the nodes, and their local support suppliesa decisive inductive bias for localized graph signals. (IV) DAM dynamics with a bounded-belowenergy functional give dE/dt ≤ 0 and unconditional convergence to a topological attractor.Version 2 replaces the arithmetic rationale for the projector rank with the correct and strongerprinciple: the rank must sit at a spectral gap, because eigenvalue separationand nothing elsecontrols perturbative mode mixing. We prove the Perturbative Firewall Theorem, which bounds the leakage of the projected dynamics under perturbation V by ∥(I − P)δx∥ ≤ ∥V ∥/∆ with ∆ the gap at the cut, converting the previously sampled stability into a theorem with a computable constant; and we exhibit the exact gap structure of the 861-node triangular Laplacian, whose protected cuts in the working region are M = 62, 110, 126, 143, 159, 215, 237, 256, with M = 215 (∆ = 0.094) the natural rewall for a quarter-spectrum truncation. Hardwarerealizations photonic bandgap, microwave-ltered superconducting, Rydberg-dressed neutral atomimplement the projector as a physical mode cuto placed at the gap.

DOI
10.5281/zenodo.21328160

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We present a unied architecture combining KolmogorovArnold Networks and Dense Associative Memory on discrete spectral graphs, in which computation is conned to a protected low-frequency subspace by a rigid spectral projectorreplacing active gate-based error correction with passive, hardware-enforced mode suppression. Four results carry the framework. (I)The graph Laplacian generates the native unitary evolution U = e−iL∆t, and an orthogonal spectral projector P=Pk≤M |φk⟩⟨φk| truncates the Hilbert space to the protected span. (II)The Projection Stability Theorem: under xn+1 = P F(xn) for any nonlinearity F, the dynamicsremain conned with exactly zero leakageby idempotency, (I −P)xn+1 = (I −P)P F(xn) = 0,an algebraic identity, not an approximation. (III) Graph-KAN layers place trainable B-splinefunctions on the edges rather than static weights on the nodes, and their local support suppliesa decisive inductive bias for localized graph signals. (IV) DAM dynamics with a bounded-belowenergy functional give dE/dt ≤ 0 and unconditional convergence to a topological attractor.Version 2 replaces the arithmetic rationale for the projector rank with the correct and strongerprinciple: the rank must sit at a spectral gap, because eigenvalue separationand nothing elsecontrols perturbative mode mixing. We prove the Perturbative Firewall Theorem, which bounds the leakage of the projected dynamics under perturbation V by ∥(I − P)δx∥ ≤ ∥V ∥/∆ with ∆ the gap at the cut, converting the previously sampled stability into a theorem with a computable constant; and we exhibit the exact gap structure of the 861-node triangular Laplacian, whose protected cuts in the working region are M = 62, 110, 126, 143, 159, 215, 237, 256, with M = 215 (∆ = 0.094) the natural rewall for a quarter-spectrum truncation. Hardwarerealizations photonic bandgap, microwave-ltered superconducting, Rydberg-dressed neutral atomimplement the projector as a physical mode cuto placed at the gap.
We present a rigorous head-to-head analytical comparison between the KAN-DAM (KolmogorovArnold Network + Dense Associative Memory) architecture operating on a xed nite spectral manifold (N = 861) and conventional tensor-network (TN) methods. Tensor networks suer exponential scaling with bond dimension due to volume-law entanglement generation, and their exact contraction in 2D/3D is strictly #P-hard, forcing systematic topological destruction via Singular Value Decomposition (SVD) truncation. Conversely, KAN-DAMmaintains a xed dimensionality N, achieves a bounded per-step complexity of O(N2) and total cost O(N2T), and suppresses non-physical errors globally via Dense Associative Memory geometric projection rather than truncation. The Kolmogorov-Arnold representation guarantees dense functional expressivity without requiring explicit, localized entanglement management. This establishes KAN-DAM as a bounded-cost, geometrically stabilized computational paradigm ideally suited for non-perturbative problems whose physics is constrained to a low-dimensional topological surface.
We present a complete cryptographic trapdoor primitive constructed by embeddingKolmogorov–Arnold Networks (KAN) with Dense Associative Memory (DAM) layersonto the DSM-861 Deterministic Spectral Manifold — a rigid triangular-lattice 3-toruswith exactly N = 861 nodes, 72-fold gear-lock symmetry, topological defect δ = -1/24,and intrinsic Casimir residue |ε| = 1/12 (derived via Euler-Maclaurin regularization ofδ). The private key is an exact initial spectral signature ψ0. Forward trapdoor evaluation (private key → public key) is an exact algebraic spectral mapping of the Kolmogorov–Arnold decomposition executed via discrete Lax pairs satisfying the zero-curvature condition [∂/∂t − A, L] = 0. The Dense Associative Memory layerresolves superpositions deterministically. Inversion is rendered computationallyintractable by the non-periodic, non-Abelian geometry of the closed manifold,topological phase locking, and intrinsic Casimir stabilization. This constructiondelivers deterministic, drift-free signature generation and verification with zeroprobabilistic failure. We provide full mathematical definitions, explicit constructions,rigorous security reductions, quantitative resource comparisons with Babbush et al.(2026), implementation considerations, and integration with intrinsic topologicalquantum error correction. The primitive offers a practical, quantum-resistantalternative to lattice-based post-quantum cryptography with dramatically reducedoverhead and no reliance on heuristic hardness assumptions.
This note species the hardware realization of the DSM-861 deterministic computing architecture, in which correctness is enforced by geometry rather than by error correction. The processor confines computation to a protected subspace of an 861-node spectral manifold through a passive projection operator; states that leave the admissible subspace are shunted before output.Three properties are guarantees, established as theorems of the architecture: exact connement by idempotency (P2 = P, zero leakage); bounded perturbative leakage through the spectralgap rewall (∥(I − P)δx∥ ≤ ∥V ∥/∆); and monotone convergence of the associative memory to a stored attractor. The remaining specicationsnode count, clock structure, arithmetic anchoring, and spline orderare xed by the arithmetic of the terminal Heegner discriminantD = −163. Performance claims are scoped to what the architecture supports: the chip is a classical deterministic device whose projection and associative dynamics are quantum-like in form,and its suppression of inadmissible outputs is exact for the class of states whose inadmissibility is detectable by the 861-projection.
The DSM-861 error-correction mechanism—defined as the instantaneous orthogonal projection Π861 onto the Heegner-rigid 861-node vorton lattice—is systematically applied and mathematically resolved across three disparate physical domains. (I) Quantum Memories: We unify the DSM-861 projection-enforced admissibility with the 2026 3D sheaf-code passive quantum memory (Balasubramanian et al., arXiv:2605.10943) and the classic 4D loop toric code (Dennis et al., 2002), demonstrating how arithmetic rigidity completely bypasses active decoder overhead to achieve hardware-level zero-drift. (II) Biological Error Catastrophe: We resolve the Meyer-Axe paradox of protein folding by quantifying the Spectral Admissibility Criterion (SAC). We establish the exact thermodynamic threshold linking admissibility gaps to folding free energy, formulate the topological restoration force, and derive the biological longevity limit as a deterministic consequence of KolmogorovArnold-Moser (KAM) stability breakdown. (III) KAN-DAM Quantum Computation: We prove the computational universality of the KAN-DAM framework, encoding states nonlocally across all 861 modes. We demonstrate that the system avoids the exponential scaling of volume-law entanglement by utilizing the Π861 projection as a continuous physical disentangler, bounding classical simulation complexity strictly to polynomial time O(N2log(1/)). This unified paradigm requires no external error-correcting codes, replacingprobabilistic syndrome measurements with deterministic geometric necessity.
The KAN-DAM computing architecture establishes a deterministic quantum-computational model hosted on a finite 861-node spectral manifold, replacing isolated physical qubits and discrete gate sequences with globally distributed, non-local state representations. Information processing advances through an alternating cycle of linear functional mode mixing, non-linear dense associative coupling, and immediate geometric projection back onto the constrained manifold. The system integrates global Chebyshev spectral polynomial expansions with localized adaptive spline representations, coupling macro-level coherence with localized gradient absorption to eliminate oscillatory instabilities. The non-linear stage generates many-body interactions and effective entanglement in a single transformation without requiring deep sequences of two-qubit operations. Error suppression operates as an automatic geometric filter rather than an active algorithmic routine: perturbations that drift outside the rigid manifold constraints are discarded by the projection step, eliminating the need for ancilla qubits or syndrome measurements. This design circumvents the exponential entanglement scaling limits of classical tensor networks and the critical gap-closing slowdowns of adiabatic quantum annealing, providing an inherently stable platform that can be simulated classically or implemented across photonic, superconducting, and cold-atom hardware.
We establish an exact, non-heuristic operator-theoretic framework for spectral gap amplification, uniting finite-dimensional discrete Laplacian networks with infinite-dimensional continuous Schrödinger operators. By utilizing an exact Feshbach-Schur reduction and a reduced Birman-Schwinger formulation, we isolate the spectral shift equation governing structural coherence. We prove that the structural admissibility condition (γΔ > β²) is sufficient and sharp within the monotone resolvent bound for strict spectral gap amplification, yielding a closed-form optimal lower bound. We establish necessity under commuting constraints and derive the exact geometric admissibility condition for simple sectors. Advancing beyond finite matrices, we extend these exact bounds to self-adjoint operators with compact resolvents. We employ regularized Fredholm determinants (det2) to track exact analytic zero-crossings in Hilbert space, removing the trace-class requirement and securing an exact topological boundary for the invariant subspace independently of ambient dimension. Finally, we formulate the Grand Unified Ω-Σ Operator Theorem. We prove that this invariant admissibility law universally governs phase closure across both discrete networks and continuous quantum manifolds. The geometric boundary γΔ > β² dictates that an injected constraint field (the Ω-layer) will only stabilize a system if its spectral alignment with the target invariant subspace (γ) combined with the intrinsic spectral isolation of that space (Δ) strictly dominates the squared variance of orthogonal leakage (β²). This establishes that dynamic coherence is not merely persistence, but an exactly tunable operator geometry spanning from discrete nxn matrices to infinite-dimensional Hilbert space.