Title: Algorithmic Quantum Bias Mitigation through Adaptive Error Correction
Jincheng Zhang
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.
•Aug 31, 2026•0 citations