Based on Information Entropy: Quantum State Measurement Optimization

Jincheng Zhang

Published Aug 28, 2026• 0 citations

Abstract

This paper investigates the optimization of quantum state measurement using the principles of information entropy. The core idea is to treat quantum state measurement as an information entropy problem, aiming to maximize the information gained from the measurement process. Traditional quantum measurement techniques often rely on probabilistic outcomes, lacking control and inherent optimization. This work proposes a novel approach that leverages information entropy to design and optimize measurement schemes. The theoretical framework centers around quantifying uncertainty associated with quantum states and formulating measurement strategies to minimize this uncertainty, thereby maximizing the information obtained. Specifically, we explore the relationship between measurement outcomes, entropy, and the achievable precision. The proposed methodology offers a pathway to more efficient and accurate quantum state determination, with potential applications in quantum sensing, quantum communication, and fundamental quantum information theory. The key contributions of this research lie in the systematic application of information entropy to guide measurement selection and the development of a quantifiable metric for evaluating the effectiveness of measurement strategies. The final result is a framework that allows for controlled optimization of quantum measurements, moving beyond purely probabilistic approaches.

DOI: 10.5281/zenodo.22138947

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