Quantum State Tomography for Complex System Understanding

Jincheng Zhang

Published Sep 7, 2026• 0 citations

Abstract

Quantum State Tomography (QST) offers a novel approach to understanding complex systems by leveraging quantum mechanics. This paper introduces a quantum state tomography algorithm designed for efficiently mapping the state of a complex system based on measurements. The core mechanism involves utilizing quantum superposition and entanglement to create a probabilistic model of the system's state, enabling rapid, less-precise assessment. The algorithm's potential lies in its ability to overcome the computational limitations of traditional state tomography, opening new avenues for analyzing and interpreting intricate systems. This work demonstrates the feasibility of QST through a theoretical analysis and preliminary implementation, highlighting its promise for various scientific and engineering applications.

DOI: 10.5281/zenodo.22574253

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