Title: Dynamic Quantum State Collapse for Data Compression

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper investigates the potential of dynamic quantum state collapse as a novel compression algorithm, aiming to surpass the current state-of-the-art in data compression rates through the strategic exploitation of quantum correlations inherent in data. We propose a 'Quantum State Collapse Engine' that dynamically collapses quantum states during the compression process, leveraging entanglement to represent data in a fundamentally more efficient manner. The core mechanism centers around quantifying and manipulating quantum entanglement to achieve superior compression ratios. This work presents a theoretical framework outlining the algorithm's design and potential performance improvements compared to existing compression techniques. We will detail the implementation of the Quantum State Collapse Engine and analyze its effectiveness through simulations, focusing on scenarios exhibiting strong quantum correlations. The goal is to demonstrate a substantial gain in compression rates, specifically for data containing significant quantum phenomena.

DOI: 10.5281/zenodo.22198683

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