##拓扑信息论的量子化化学原理

Jincheng Zhang

Published Sep 7, 2026• 0 citations

Abstract

This paper explores the potential of quantum information theory to revolutionize chemical design and analysis. We propose a novel framework leveraging the inherent topological properties of molecules and their interactions to enable efficient probabilistic calculations and data compression. The core mechanism centers around directly applying the topology of molecules to quantum computation, utilizing quantum-enhanced topological encoding, and exploring its implications for accelerated data processing. This approach distinguishes itself from traditional quantum information theory by focusing on the structural dynamics of molecules, offering a pathway to surpass current computational limitations. We demonstrate the feasibility of this design through conceptual analysis and preliminary simulations, highlighting its potential for groundbreaking advancements in chemical modeling and optimization.

DOI: 10.5281/zenodo.22607812

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