Algorithmic Quantum Error Mitigation via Wavefunction Reconstruction

Jincheng Zhang

Published Sep 1, 2026• 0 citations

Abstract

Quantum computing holds immense promise, but its susceptibility to errors presents a significant challenge. Traditional error correction techniques struggle with the inherent complexity of quantum systems. This paper proposes a novel algorithmic quantum error mitigation strategy centered around wavefunction reconstruction, a dynamic adaptation process that actively compensates for errors as they are detected. We introduce a method that iteratively reconstructs the quantum state, utilizing a sophisticated dynamic parameter adjustment based on the quantum system's evolving dynamics. This approach offers improved resilience compared to existing methods, potentially achieving greater error correction rates with a more efficient resource utilization. The core mechanism hinges on a continuous, adaptive process of wavefunction reconstruction, minimizing the impact of errors without requiring extensive overhead.

DOI: 10.5281/zenodo.22219006

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