Quantum State Adaptive Reconstruction

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

Quantum State Adaptive Reconstruction addresses the challenge of accurately reconstructing quantum states from incomplete data through a novel algorithm that leverages the inherent adaptability of quantum states. This paper proposes a quantum state reconstruction algorithm that dynamically adjusts the reconstruction process based on input data, leading to improved precision and robustness compared to existing approaches. The core mechanism centers on exploiting the quantum state's self-correction properties to iteratively refine the reconstructed state. The investigation highlights the algorithm's ability to effectively mitigate errors and enhance fidelity in various quantum state reconstruction scenarios.

DOI: 10.5281/zenodo.22264678

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