Title: Dynamic Topology for Quantum State Reconstruction

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

Quantum state reconstruction is a fundamental challenge in quantum information processing, particularly when dealing with incomplete measurements. Traditional methods often struggle with large datasets and complex systems. This paper introduces Dynamic Topology for Quantum State Reconstruction (DTQSR), a novel approach leveraging a dynamic topology to intelligently adapt to measurement outcomes, thereby significantly enhancing the reconstruction process. We propose a system that iteratively refines the measurement process, employing a feedback loop driven by a topology optimization algorithm. This adaptive approach overcomes limitations of existing methods by providing a robust and efficient solution to reconstruct quantum states from incomplete data. The core mechanism focuses on dynamically adjusting the quantum state's topology to maximize information extraction, offering a promising path towards more reliable and scalable quantum state reconstruction. This work presents a complete theoretical framework and preliminary implementation demonstrating the effectiveness of DTQSR in reconstructing specific quantum states.

DOI: 10.5281/zenodo.22203503

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