论贝叶斯离散反馈在量子信息回收中的有效性

IF 2.2 3区物理与天体物理 Q1 PHYSICS, MATHEMATICAL

Quantum Information Processing Pub Date : 2024-06-28 DOI:10.1007/s11128-024-04467-x

Milajiguli Rexiti, Samad Khabbazi Oskouei, Stefano Mancini

引用次数: 0

摘要

我们考虑的是离散时间反馈，其目的是在信道动作后恢复量子信息。我们比较了贝叶斯策略和马尔可夫策略。结果表明，前者在量子比特信道中没有任何优势，而在高维信道中则表现出更优越的性能。针对量子信道的案例研究证明了这一点。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

On the effectiveness of Bayesian discrete feedback for quantum information reclaiming

查看原文本刊更多论文

On the effectiveness of Bayesian discrete feedback for quantum information reclaiming

We consider discrete time feedback aimed at reclaiming quantum information after a channel action. We compare Bayesian and Markovian strategies. We show that the former does not offer any advantage for qubit channels, while its superior performance can appear in higher-dimensional channels. This is witnessed by cases study for qutrit channels.

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来源期刊

Quantum Information Processing 物理-物理：数学物理

CiteScore

4.10

自引率

20.00%

发文量

337

审稿时长

4.5 months

期刊介绍： Quantum Information Processing is a high-impact, international journal publishing cutting-edge experimental and theoretical research in all areas of Quantum Information Science. Topics of interest include quantum cryptography and communications, entanglement and discord, quantum algorithms, quantum error correction and fault tolerance, quantum computer science, quantum imaging and sensing, and experimental platforms for quantum information. Quantum Information Processing supports and inspires research by providing a comprehensive peer review process, and broadcasting high quality results in a range of formats. These include original papers, letters, broadly focused perspectives, comprehensive review articles, book reviews, and special topical issues. The journal is particularly interested in papers detailing and demonstrating quantum information protocols for cryptography, communications, computation, and sensing.