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This paper introduces a novel class of quantum neural networks grounded in $p$-adic Schrödinger equations derived from hierarchical cellular models. By establishing the existence of local solutions and providing numerical simulations, the work advances theoretical frameworks for bio-inspired QNN architectures on simple graphs. The research represents significant progress at the intersection of mathematical physics and emerging quantum machine learning paradigms.
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Pattern Formation in Quantum Hierarchical Cellular Neural Networks

arXiv2 min de cititArticolul și perspectiva sunt în engleză.

arXiv:2603.27063v3 Announce Type: replace Abstract: We present a new class of quantum neural networks (QNNs) whose states are solutions of $p$-adic Schr\"{o}dinger equations with a non-local potential that controls the interaction between the neurons. These equations are obtained as Wick rotations of the state equations of $p$-adic cellular neural networks (CNNs). The CNNs are continuous limits of discrete hierarchical neural networks (NNs). The CNNs are bio-inspired by the Wilson-Cowan model, which describes the macroscopic dynamics of large populations of neurons. We provide a detailed study of the discretization of the new $p$-adic Schr\"{o}dinger equations, which allows the construction of new QNNs on simple graphs. We also conduct detailed numerical simulations, offering a clear insight into the functioning of the new QNNs. At a mathematical level, we show the existence of local solutions for the new $p$ -adic Schr\"{o}dinger equations.

Abstract:We present a new class of quantum neural networks (QNNs) whose states are solutions of $p$-adic Schrödinger equations with a non-local potential that controls the interaction between the neurons. These equations are obtained as Wick rotations of the state equations of $p$-adic cellular neural networks (CNNs). The CNNs are continuous limits of discrete hierarchical neural networks (NNs). The CNNs are bio-inspired by the Wilson-Cowan model, which describes the macroscopic dynamics of large populations of neurons. We provide a detailed study of the discretization of the new $p$-adic Schrödinger equations, which allows the construction of new QNNs on simple graphs. We also conduct detailed numerical simulations, offering a clear insight into the functioning of the new QNNs. At a mathematical level, we show the existence of local solutions for the new $p$ -adic Schrödinger equations.

The paper was fully revised. Some new sections were added

arXiv:2603.27063 [quant-ph]

(or arXiv:2603.27063v3 [quant-ph] for this version)

From: W. A. Zuniga-Galindo [view email] [v1] Sat, 28 Mar 2026 00:39:53 UTC (566 KB) [v2] Thu, 9 Jul 2026 00:46:55 UTC (529 KB) [v3] Mon, 17 Aug 2026 14:37:26 UTC (545 KB)

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