Matter's Adaptive Quantum States: A Computational Approach

Jincheng Zhang

Published Aug 29, 2026• 0 citations

Abstract

This paper introduces a novel computational method for material simulation and prediction based on adaptive quantum states. Traditional quantum computing approaches often rely on static calculations, limiting their ability to address complex material phenomena. This work proposes a new framework leveraging quantum entanglement and quantum operators to dynamically adjust material quantum states, enabling more precise simulations and predictions. The core mechanism involves controlling quantum particles' states to achieve accurate representation and forecasting of material properties. This approach overcomes limitations of current methods, particularly in modeling intricate material behavior and offers the potential for significant advancements in materials science and engineering. We detail the method's architecture, explore its potential benefits, and present preliminary results demonstrating its effectiveness in simulating specific material systems.

DOI: 10.5281/zenodo.22154662

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