Tootfinder

Entanglement swapping for partially entangled qudits and the role of quantum complementarity
Diego S. Starke, Marcos L. W. Basso, Lucas C. C\'eleri, Jonas Maziero
https://arxiv.org/abs/2508.00813

Entanglement swapping for partially entangled qudits and the role of quantum complementarity
We extend the entanglement swapping protocol (ESP) to partially entangled qudit states and analyze the process within the framework of complete complementarity relations (CCRs). Building on previous results for qubits, we show that the average distributed entanglement between two parties via ESP is bounded above by the initial entanglement of one of the input pairs, and also by the product of the initial entanglements. Notably, we find that using initial states with vanishing local quantum cohe…

Decoding the Poetic Language of Emotion in Korean Modern Poetry: Insights from a Human-Labeled Dataset and AI Modeling
Iro Lim, Haein Ji, Byungjun Kim
https://arxiv.org/abs/2509.03932

Decoding the Poetic Language of Emotion in Korean Modern Poetry: Insights from a Human-Labeled Dataset and AI Modeling
This study introduces KPoEM (Korean Poetry Emotion Mapping) , a novel dataset for computational emotion analysis in modern Korean poetry. Despite remarkable progress in text-based emotion classification using large language models, poetry-particularly Korean poetry-remains underexplored due to its figurative language and cultural specificity. We built a multi-label emotion dataset of 7,662 entries, including 7,007 line-level entries from 483 poems and 615 work-level entries, annotated with 44 f…

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From Coarse to Fine-Grained Emotion Annotation: An Immediate Recall Paradigm with Validation through Physiological Evidence and Recognition Performance
Hao Tang, Songyun Xie, Xinzhou Xie, Can Liao, Xin Zhang, Bohan Li, Zhongyu Tian, Dalu Zheng
https://arxiv.org/abs/2507.02350

From Coarse to Fine-Grained Emotion Annotation: An Immediate Recall Paradigm with Validation through Physiological Evidence and Recognition Performance
Traditional video-induced emotion physiological datasets often use whole-trial annotation, assigning a single emotion label to all data collected during an entire trial. This coarse-grained annotation approach misaligns with the dynamic and temporally localized nature of emotional responses as they unfold with video narratives, introducing label noise that limits emotion recognition algorithm evaluation and performance. To solve the label noise problem caused by coarse-grained annotation, we pr…

💯 Scientists produce quantum entanglement-like results without entangled particles in new experiment
https://phys.org/news/2025-08-scientists-quantum-entanglement-results-entangled.html

Scientists produce quantum entanglement-like results without entangled particles in new experiment
In the everyday world that humans experience, objects behave in a predictable way, explained by classical physics. One of the important aspects of classical physics is that nothing, not even information, can travel faster than the speed of light. However, in the 1930s, scientists discovered that very small particles abide by some very different rules. One of the most mind-boggling behaviors exhibited by these particles is quantum entanglement—which Albert Einstein famously called "spooky acti…

2-Nanometer-Technik: Ingenieure sollen TSMC-Geheimnisse gestohlen haben
In Taiwan bahnt sich eine potenzielle Sicherheitskrise an. Ehemalige TSMC-Ingenieure sollen unerlaubt Geschäftsgeheimnisse entwendet haben.

Entangling Power and Its Deviation: A Quantitative Analysis on Input-State Dependence and Variability in Entanglement Generation
Kyoungho Cho, Jeongho Bang
https://arxiv.org/abs/2508.00301

Entangling Power and Its Deviation: A Quantitative Analysis on Input-State Dependence and Variability in Entanglement Generation
Quantifying the entangling capability of quantum operations is a fundamental task in quantum information science. Traditionally, this capability is measured by the entangling power (EP), defined as the average entanglement generated when a quantum operation acts uniformly on all possible product states. However, EP alone cannot capture the intricate input-state-dependent nature of entanglement generation. To address this, we define a complementary metric -- entangling power deviation (EPD) -- a…

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AffectGPT-R1: Leveraging Reinforcement Learning for Open-Vocabulary Emotion Recognition
Zheng Lian
https://arxiv.org/abs/2508.01318 https://arxiv.org/pdf/2…

AffectGPT-R1: Leveraging Reinforcement Learning for Open-Vocabulary Emotion Recognition
Open-Vocabulary Multimodal Emotion Recognition (OV-MER) aims to predict emotions without being constrained by predefined label spaces, enabling fine-grained and human-like emotion understanding. Unlike traditional discriminative methods, OV-MER leverages generative models, such as large language models (LLMs) with extensive vocabularies, to capture the full spectrum of emotions. Previous approaches (like AffectGPT) primarily rely on token-level loss for training. However, this objective does no…

Swapped Entanglement in High-Dimensional Quantum Systems
S. M. Zangi, Chitra Shukla, Khalid Naseer, Saeed Haddadi
https://arxiv.org/abs/2508.00634 https://…

Swapped Entanglement in High-Dimensional Quantum Systems
Entanglement swapping is a fundamental protocol in quantum information processing that enables the distribution of entanglement between distant quantum systems. In this work, we first extend the concept of entanglement swapping to higher-dimensional quantum systems, specifically qudits. We then analyze the dynamics of entanglement swapping and quantify the average swapped entanglement in terms of concurrence and negativity. Our results demonstrate that higher-dimensional systems offer enhanced …