Accès ouvert
2026
preprint
OpenAlex
Yuhang Liu, Yuan-Hong Tao, Yi‐Wen Liu, Ying-Huan Zhou et autres
Quantum entanglement is the fundamental hallmark of quantum mechanics and a core resource for realizing long-distance quantum communication and scalable linear quantum computing. Accordingly, the precise detection and quantitative quantification of entanglement constitute a foundational and critical problem in quantum information theory. …
Accès ouvert
2026
preprint
OpenAlex
Yuhang Liu, Yuan-Hong Tao, Yi‐Wen Liu, Ying-Huan Zhou et autres
Quantum entanglement is the fundamental hallmark of quantum mechanics and a core resource for realizing long-distance quantum communication and scalable linear quantum computing. Accordingly, the precise detection and quantitative quantification of entanglement constitute a foundational and critical problem in quantum information theory. …
cn
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2026
article
OpenAlex
Yuhang Liu, Yuan-Hong Tao, Y. Lan, Shao-Ming Fei
cn
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Accès ouvert
2026
article
OpenAlex
Liu Sun, Shao-Qiang Shang, Yuan-Hong Tao, Wei-Ning Li
Abstract Quantum coherence, a fundamental quantum resource, is critical for quantum computing, communication, and metrology. Hellinger-distance-based coherence enables robust quantum superposition quantification; however its basis-dependent behavior hinders practical use in quantum information processing. To address this, this study explores the trade-off relations …
cn
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Accès ouvert
2026
article
OpenAlex
Junze Cai, Shuhui Wu, Yawen Zhang, Jiale Shao et autres
Healthcare fraud poses significant risks to insurance systems, undermining both financial sustainability and equitable access to care. Accurate detection of fraudulent claims is therefore critical to ensuring the integrity of healthcare insurance operations. However, the increasing sophistication of fraud techniques and limited …
cn
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2026
article
OpenAlex
Weining Li, Ming Fang, Yuan-Hong Tao, Liu Sun et autres
ABSTRACT We investigate the relationships among the wave property, particle property and mixedness of quantum states based on the ‐norm coherence. By conforming that the ‐norm coherence is an appropriate measure of wave property and introducing a measure of particle property based …
cn
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Accès ouvert
2026
article
OpenAlex
Yuan-Hong Tao, Qing Yu, Liu Sun, Weining Li et autres
Abstract Quantum coherence stands as a core property of quantum mechanics, its origin rooted in the superposition principle that governs quantum states. Leveraging mutually unbiased bases (MUBs), this paper delves into an in-depth exploration of quantum coherence characteristics through the lens of …
cn
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2025
article
OpenAlex
Ning Wang, Jincheng Yue, Hui Zhang, Siqi Guo et autres
cn, es
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Accès ouvert
2025
article
OpenAlex
Lin Zhang, Yuan-Hong Tao
Research on quantum states often focuses on the correlation between nonlocal effects and local unitary invariants, among which local unitary equivalence plays a significant role in quantum state classification and resource theories. This paper focuses on the local unitary equivalence of multipartite …
cn
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Accès ouvert
2025
preprint
OpenAlex
Weining Li, Ming Fang, Yuan-Hong Tao, Liu Sun et autres
We investigate the relationships among the wave property, particle property and mixedness of quantum states based on the lp-norm coherence. By conforming that the lp-norm coherence is an appropriate measure of wave property and introducing a measure of particle property based on …
Accès ouvert
2025
article
OpenAlex
Shuhui Wu, Yuan-Hong Tao, Qiquan Fang
International student enrollment has rapidly grown in China, positioning transnational education as a significant component of the country’s higher education system. So our study investigates an innovative teaching approach that combines the Knowing-Understanding-Doing (KUD) framework with the BOPPPS pedagogical model (which includes …
cn
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2025
article
OpenAlex
Shuhui Wu, Yuan-Hong Tao, Qiquan Fang
This study examines the pedagogical effectiveness of a blended learning approach integrated with the BOPPPS (Bridge-in, Objective, Pre-assessment, Participatory Learning, Post-assessment, Summary) instructional model, situated within the context of advancing artificial intelligence and data science education. Using the course ‘big data statistical …
cn
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