Quantum Entanglement Information Encoding: An Adaptive Collapse Algorithm

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

Quantum entanglement, a peculiar phenomenon in quantum mechanics, offers the potential for fundamentally secure and efficient information transfer. This paper explores the design of an adaptive collapse algorithm for quantum information encoding, leveraging the inherent dynamics of entangled states. The algorithm aims to dynamically adjust the encoding precision based on the quantum system's state, enhancing data transmission and processing efficiency. We propose a novel mechanism involving a dynamic scanning process that exploits the self-adaptability of entangled states. This approach overcomes limitations of traditional encoding methods by allowing for a more nuanced and flexible approach to data representation. The paper details the core mechanism, its potential benefits, and preliminary results demonstrating the algorithm's capabilities. We highlight the significance of this research in advancing quantum information technologies.

DOI: 10.5281/zenodo.22291484

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