努力实现 Dempster-Shafer:\量子电路上的(α)结融合规则

IF 2.2 3区 物理与天体物理 Q1 PHYSICS, MATHEMATICAL
Linxuan Li, Qianli Zhou, Zhen Li, Yong Deng, Éloi Bossé
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引用次数: 0

摘要

量子计算在包括信息论在内的各种应用中都能超越经典能力,因此已成为一个前景广阔的研究领域。其中一个应用领域是 Dempster-Shafer 理论,该理论在数学上与量子计算相对应。特别是,量子算法具有高效处理大多数信息融合规则中证据的潜力。本研究提出了一种基于特定证据组合规则的方法,即量子电路上的\(\alpha \)-结,使用变分量子线性求解器。\(α \)-结算子的几何特征和矩阵分解使得它可以在量子电路上高效实现,从而获得更高的精确度,在实践中它可以与之前的 Dempster-Shafer 理论方法进行比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Towards an efficient implementation of Dempster–Shafer: \(\alpha \)-junction fusion rules on quantum circuits

Towards an efficient implementation of Dempster–Shafer: \(\alpha \)-junction fusion rules on quantum circuits

Quantum computing has become a promising area of research due to its ability to go beyond classical capability in various applications, including information theory. One such application is in the Dempster–Shafer theory, which has mathematically correspondence to quantum computation. In particular, quantum algorithms have the potential to efficiently process evidence evidenced in most information fusion rules. This study proposes a method based on a specific evidence combination rule, known as the \(\alpha \)-junctions, on quantum circuits using the variational quantum linear solver. The geometrical features and matrix decomposition of \(\alpha \)-junction operators allow an efficient implementation on quantum circuits, resulting in greater accuracy, and practically it can be compared to previous methods in Dempster–Shafer theory.

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来源期刊
Quantum Information Processing
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.
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