Title: Dynamic Quantum State Reconstruction Based on Uncertainty

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

Quantum state reconstruction is a fundamental challenge in quantum information science. Traditional methods often rely on precise measurements, which can be sensitive to noise and require significant resources. This paper introduces a novel dynamic uncertainty reconstruction algorithm, designed to iteratively refine the reconstruction based on the inherent uncertainty in the measurement process. The algorithm leverages the uncertainty principle to dynamically adjust the reconstruction, thereby improving the precision and robustness of quantum measurements. We demonstrate the effectiveness of this approach through simulations and analysis, showcasing a significant improvement in reconstruction accuracy compared to existing methods. The core mechanism centers on a continuous update of the reconstruction based on the measured uncertainty, effectively capturing the quantum state's sensitivity to measurement.

DOI: 10.5281/zenodo.22203994

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