Quantum Adaptive Reconstruction

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

This paper presents a novel algorithm, Quantum Adaptive Reconstruction, designed to facilitate efficient simulation and modeling of complex physical systems, specifically tailored for the construction and analysis of quantum systems. The core mechanism leverages quantum computation to dynamically reconstruct high-dimensional data, drastically reducing computational costs compared to classical methods. Traditional approaches often rely on classical simulations, and this algorithm offers a significant advancement in this field. The paper details the algorithm's design, its theoretical underpinnings, and preliminary experimental results demonstrating its efficacy in a simplified model of a quantum system.

DOI: 10.5281/zenodo.22290134

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