Title: Adaptive Quantum State Tomography – Dynamic Reconstruction of Quantum States

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

Quantum state tomography is a crucial technique for characterizing complex quantum states, and traditional approaches often struggle with large datasets and computationally intensive reconstruction processes. This paper introduces Adaptive Quantum State Tomography (AQT), a novel algorithm that dynamically adjusts measurement strategies during the reconstruction process to improve accuracy and speed. The core mechanism relies on a learning-based approach, employing a feedback loop to optimize the measurement strategy based on the observed data. This adaptive strategy significantly enhances the reconstruction process, addressing a key bottleneck in quantum state tomography and offering the potential for faster characterization of complex quantum states.

DOI: 10.5281/zenodo.22452706

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