Title: Temporal Entanglement of Quantum States & Observational Bias Mitigation

Jincheng Zhang

Published Sep 7, 2026• 0 citations

Abstract

Quantum entanglement, a cornerstone of quantum computing, is profoundly sensitive to observation. This research investigates the impact of observational bias – the systematic influence of measurement on entangled states – and proposes a framework to quantify and mitigate this effect. The core claim centers around the development of a dynamic entanglement parameter adjustment algorithm, leveraging a probabilistic model to estimate the influence of measurement on entanglement state. This work aims to provide a robust methodology for controlling and reducing bias during quantum entanglement experiments, thereby enhancing the fidelity and reliability of quantum computation. The research utilizes a novel approach to dynamically adjust entanglement parameters, offering a potential pathway toward minimizing the observable consequences of measurement. This paper will detail the theoretical foundation, algorithm implementation, and experimental validation of the proposed framework.

DOI: 10.5281/zenodo.22604612

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