Title: Dynamically Adaptive Modular Lattice Structures for Quantum Simulation

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

Quantum simulation, a crucial tool for fundamental physics research, faces significant challenges with current methods due to limitations in precision and adaptability. This paper introduces a novel approach utilizing dynamically adaptive modular lattice structures to overcome these limitations, offering unprecedented control and fidelity in quantum system simulations. We propose a self-organizing algorithm employing fractal geometry and iterative refinement to automatically generate lattices with variable connectivity and branching patterns. This dynamic structure is designed to perfectly mimic complex quantum states, providing unparalleled control and accuracy in simulations. The core mechanism leverages feedback loops to maintain optimal representation of quantum states, ensuring a high degree of fidelity. This work represents a significant advancement in lattice simulation, offering a pathway towards more powerful and versatile quantum computational capabilities.

DOI: 10.5281/zenodo.22300078

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