量子多重异常检测

IF 5.1 2区 物理与天体物理 Q1 PHYSICS, MULTIDISCIPLINARY Quantum Pub Date : 2024-08-28 DOI:10.22331/q-2024-08-28-1452
Santiago Llorens, Gael Sentís, Ramon Muñoz-Tapia
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引用次数: 0

摘要

假定制备特定参考状态的源有时会制备出异常状态。我们要解决的任务是在一系列具有 $k$ 异常的 $n$ 准备中识别这些异常状态。我们分析了最小错误协议和零错误(无歧义)协议,并得到了当观察者已知参考状态和异常状态,且异常状态在准备系列的任何位置都有同样可能出现时,成功概率的封闭表达式。我们利用关联方案理论的结果找到了解决方案,从而在图论和量子假设检验之间建立了联系。特别是,我们使用了约翰逊关联方案,它是由这个问题的格兰矩阵自然产生的。我们还研究了大 $n$ 的情况,并得到了成功概率不求和的表达式。最后,我们还讨论了观察者对参考状态和异常状态视而不见的情况。这种情况需要一个通用协议,我们证明在渐近极限中,成功概率与已知状态情况的平均值一致。
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Quantum multi-anomaly detection
A source assumed to prepare a specified reference state sometimes prepares an anomalous one. We address the task of identifying these anomalous states in a series of $n$ preparations with $k$ anomalies. We analyze the minimum-error protocol and the zero-error (unambiguous) protocol and obtain closed expressions for the success probability when both reference and anomalous states are known to the observer and anomalies can appear equally likely in any position of the preparation series. We find the solution using results from association schemes theory, thus establishing a connection between graph theory and quantum hypothesis testing. In particular, we use the Johnson association scheme which arises naturally from the Gram matrix of this problem. We also study the regime of large $n$ and obtain the expression of the success probability that is non-vanishing. Finally, we address the case in which the observer is blind to the reference and the anomalous states. This scenario requires a universal protocol for which we prove that in the asymptotic limit, the success probability corresponds to the average of the known state scenario.
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来源期刊
Quantum
Quantum Physics and Astronomy-Physics and Astronomy (miscellaneous)
CiteScore
9.20
自引率
10.90%
发文量
241
审稿时长
16 weeks
期刊介绍: Quantum is an open-access peer-reviewed journal for quantum science and related fields. Quantum is non-profit and community-run: an effort by researchers and for researchers to make science more open and publishing more transparent and efficient.
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