Title: Algorithmic Quantum Simulation of Material Properties

Jincheng Zhang

Published Sep 5, 2026• 0 citations

Abstract

Quantum simulation offers an unprecedented opportunity to understand and predict the behavior of materials at the fundamental level. However, the computational demands of simulating complex quantum systems remain a significant barrier to progress. This paper introduces an algorithmic quantum simulation framework designed to dramatically reduce the time and improve the accuracy of material property predictions through a hybrid quantum-classical approach. We detail the core mechanism, highlighting the benefits of efficient mapping and classical simplification. The algorithm minimizes computational burden while maximizing fidelity in simulating key material properties. This work presents a novel methodology for quantum material modeling, potentially revolutionizing materials science and engineering.

DOI: 10.5281/zenodo.22315476

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