带量子噪声控制的量子估计理论
Quantum estimation theory with quantum noise control
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中文总结 AI 辅助
本文扩展Monras和Paris的量子估计界实现思路，利用广义外差探测，提出满足近期信息技术对量子优势与实时处理要求的方案。
中文摘要 AI 辅助
量子估计理论是量子香农信息论的基本支柱之一，由量子信息科学领域的先驱完成了数学系统化。尽管其应用研究长期进展有限，但21世纪以来，围绕其应用的讨论十分活跃，还涌现出诸多富有成果的方案。值得注意的是，Monras和Paris的成果是解决估计界实现问题的最显著成就之一。本文旨在展示扩展他们原始思路的实用方向。下一代量子信息机制迫切需要经典理论无法实现的量子优势保障，以及无延迟的严格实时处理。借助近半个世纪前提出的广义外差探测概念，我们证明基于他们成果的方案可有效满足近期信息技术的严格要求。
英文摘要
Quantum estimation theory serves as one of fundamental backbones of quantum Shannon information theory and was mathematically systematized by pioneers of quantum information science. Although its applied research saw limited progress for a long period, the 21st century has witnessed active discussions and numerous fruitful proposals regarding its applications. Notably, the contributions of Monras and Paris represent one of the most remarkable achievements addressing the realization problem of estimation bounds. This paper aims to demonstrate a practical direction for extending their original ideas. Next-generation quantum information mechanisms urgently demand guarantees of quantum advantage unattainable by classical theory, alongside strict real-time processing without delays. By leveraging the concept of generalized heterodyne detection proposed nearly half a century ago, we demonstrate that a scheme based on their results can effectively meet the stringent requirements of near-future information technologies.
