Title: Quantum State Vector Reconstruction with Entangled Observables

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

Quantum state vector reconstruction is a fundamental challenge in quantum information theory. Classical methods often struggle with the inherent complexity of quantum states, limiting their representability and reconstruction capabilities. This paper introduces a novel quantum algorithm, Quantum State Vector Reconstruction with Entangled Observables, which leverages entanglement to establish a 'quantum fingerprint' of the state, enabling precise reconstruction even under challenging computational constraints. We propose a method that moves beyond traditional state tomography by employing entanglement to preserve information across measurement-time intervals. The core mechanism focuses on creating a dynamic, entangled representation of the quantum state, allowing for more robust and detailed state reconstruction than current techniques. This approach holds the potential for significant advancements in quantum information processing, offering a pathway to more accurate state representations and facilitating the development of novel quantum algorithms.

DOI: 10.5281/zenodo.22200382

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