Quantum Error Correction Coding and Information Gain Optimization

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper investigates a novel approach to quantum information transmission by integrating quantum error correction coding with dynamic information gain optimization. The core claim is that by adapting the parameters of quantum error correction codes based on the observed state of quantum information during transmission, it is possible to achieve optimal information gain. The proposed mechanism leverages the inherent redundancy of quantum error correction to not only mitigate errors but also to dynamically adjust the coding scheme, maximizing the overall reliability and efficiency of the transmission process. This represents a new strategy for quantum information transfer, moving beyond static error correction protocols and toward a more adaptive and optimized system. The key mathematical framework presented here focuses on quantifying information gain, defining error correction parameters, and outlining the iterative process of adjustment based on transmission feedback. The potential impact of this approach is significant for applications requiring high-fidelity quantum communication, particularly in challenging environments with high noise levels.

DOI: 10.5281/zenodo.22199780

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