Title: Algorithmic Quantum Bias Mitigation through Adaptive Error Correction

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

Quantum computing promises revolutionary advancements across diverse fields, but the inherent fragility of quantum systems necessitates rigorous error mitigation. Quantum bias, arising from imperfections in the hardware, poses a significant threat to accuracy. This paper introduces an algorithmic quantum bias mitigation strategy centered around a novel "Bias-Aware Correction Network." The core mechanism leverages a dynamically adjusted error correction strategy, intelligently adapting the correction applied to quantum states based on a learned model of quantum bias. We propose a framework for continuous bias assessment and correction, demonstrating a significant improvement in fidelity compared to static error correction methods. The resulting algorithm offers a pathway to robust and reliable quantum computations.

DOI: 10.5281/zenodo.22190197

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