Title: Topological Quantum Entanglement for Data Compression

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper presents a novel approach to data compression utilizing topological quantum entanglement, aiming to surpass current classical methods through exponential compression rates. We propose a method for generating and manipulating hierarchical entanglement structures, representing data in a fundamentally different way than traditional methods. The core mechanism centers on building a layered, self-referential quantum network, enabling efficient encoding and retrieval of data through complex topological properties. The potential for significant compression gains, coupled with the inherent advantages of topological entanglement, makes this a promising research direction. The work explores the foundational principles, mathematical underpinnings, and experimental feasibility of this technique.

DOI: 10.5281/zenodo.22199865

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