New constructions of approximately symmetric informationally complete positive operator-valued measures by character sums over Galois rings

IF 2.2 3区 物理与天体物理 Q1 PHYSICS, MATHEMATICAL Quantum Information Processing Pub Date : 2025-02-14 DOI:10.1007/s11128-025-04656-2
Gang Wang, You Gao, Mingyue Xie, Minyao Niu
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Abstract

In quantum information theory, symmetric informationally complete positive operator-valued measures (SIC-POVMs) are related to quantum state tomography, quantum cryptography and foundational studies. It is difficult to construct SIC-POVMs and remains unknown whether SIC-POVMs exist for infinitely dimension. Therefore, researchers have proposed the solution to construct approximately symmetric informationally complete positive operator-valued measures (ASIC-POVMs). This paper proposes a construction of ASIC-POVMs using character sums over Galois rings. The dimension of this ASIC-POVMs is \(q-1\), where q is a prime power. Also, our constructions include partial results about ASIC-POVMs constructed by X. Cao et al (X. Cao, J. Mi and S. Xu: Two constructions of approximately symmetric informationally complete positive operator-valued measures. J. Math. Phys., 58(6), 062201 (2017)).

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用伽罗瓦环上的特征和构造近似对称信息完备的正算子值测度
在量子信息理论中,对称信息完备的正算子值测度(sic - povm)与量子态层析成像、量子密码学和基础研究有关。sic - povm的构造比较困难,对于无限维是否存在sic - povm仍然是未知的。因此,研究人员提出了构造近似对称信息完备正算子值测度(asic - povm)的解决方案。本文提出了一种利用伽罗瓦环上的特征和构造asic - povm的方法。这个asic - povm的维数是\(q-1\),其中q是素幂。此外,我们的构造还包括由x.o Cao等人构造的asic - povm的部分结果(x.o Cao, J. Mi和S. Xu:两个近似对称信息完备的正算子值测度的构造)。J.数学。物理。生态学报,58(6),062201(2017))。
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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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