Title: Adaptive Information Theory for Quantum Error Correction

Jincheng Zhang

Published Sep 1, 2026• 0 citations

Abstract

Quantum information processing is exceptionally sensitive to errors, posing a significant challenge to the development of practical quantum technologies. Conventional error correction codes, while effective, often rely on pre-defined error profiles that may not accurately represent the true error distribution within a quantum system. This research investigates an adaptive information theory framework designed to dynamically adjust error correction parameters based on the specific error profile of the quantum system, thereby improving error detection and resilience. The core mechanism centers around a feedback loop that continuously monitors the error rate and optimizes the correction parameters to minimize the impact of errors. The proposed approach offers a more flexible and potentially superior solution compared to static error correction methods, addressing a key limitation in current quantum error correction strategies. This work explores the design of a novel system that can adapt to varying error characteristics, leading to enhanced robustness and improved performance in quantum information processing.

DOI: 10.5281/zenodo.22220906

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