Title: Hierarchical Quantum State Collapse for Data Compression

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper presents a novel quantum state collapse protocol designed for data compression. Traditional compression techniques often employ a uniform collapse process, failing to fully leverage the inherent structure of data. We propose a hierarchical approach, where collapse occurs at multiple levels of complexity, optimizing compression efficiency through a carefully constructed system. This method aims to surpass existing approaches by identifying and exploiting the inherent patterns within data, leading to a significantly improved compression ratio. The core mechanism focuses on dynamically adjusting collapse levels based on data characteristics, ensuring targeted compression. The investigation involves a theoretical analysis of the collapse process and a practical implementation utilizing a simplified quantum system to demonstrate the protocol's effectiveness. The core claim is that a hierarchical quantum state collapse protocol significantly enhances data compression efficiency compared to conventional methods.

DOI: 10.5281/zenodo.22184461

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