Expansion properties of the young supernova type Iax remnant Pa 30 revealed

Kavli Affiliate: David Charbonneau | First 5 Authors: Tim Cunningham, Ilaria Caiazzo, Nikolaus Z. Prusinski, James Fuller, John C. Raymond | Summary: The recently discovered Pa 30 nebula, the putative type Iax supernova remnant associated with the historical supernova of 1181 AD, shows puzzling characteristics that make it unique among known supernova remnants. In particular, […]


Continue.. Expansion properties of the young supernova type Iax remnant Pa 30 revealed

NT-LLM: A Novel Node Tokenizer for Integrating Graph Structure into Large Language Models

Kavli Affiliate: Dan Luo | First 5 Authors: Yanbiao Ji, Chang Liu, Xin Chen, Yue Ding, Dan Luo | Summary: Graphs are a fundamental data structure for representing relationships in real-world scenarios. With the success of Large Language Models (LLMs) across various natural language processing (NLP) tasks, there has been growing interest in integrating LLMs […]


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Application of zero-noise extrapolation-based quantum error mitigation to a silicon spin qubit

Kavli Affiliate: Giordano Scappucci | First 5 Authors: Hanseo Sohn, Jaewon Jung, Jaemin Park, Hyeongyu Jang, Lucas E. A. Stehouwer | Summary: As quantum computing advances towards practical applications, reducing errors remains a crucial frontier for developing near-term devices. Errors in the quantum gates and quantum state readout could result in noisy circuits, which would […]


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The spin lifetime of an individual atomic nucleus investigated via local-probe single-shot readout

Kavli Affiliate: Sander Otte | First 5 Authors: Evert W. Stolte, Jinwon Lee, Hester Vennema, Rik Broekhoven, Esther Teng | Summary: Nuclear spins owe their long-lived magnetic states to their excellent isolation from their environment. At the same time, a limited degree of interaction with their surroundings is necessary for reading and writing the spin […]


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Single-shot readout of the nuclear spin of an on-surface atom

Kavli Affiliate: Sander Otte | First 5 Authors: Evert W. Stolte, Jinwon Lee, Hester G. Vennema, Rik Broekhoven, Esther Teng | Summary: Nuclear spins owe their long-lived magnetic states to their excellent isolation from the environment. At the same time, a finite degree of interaction with their surroundings is necessary for reading and writing the […]


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Hands-on Introduction to Randomized Benchmarking

Kavli Affiliate: Eliska Greplova | First 5 Authors: Ana Silva, Eliska Greplova, , , | Summary: The goal of this tutorial is to provide an overview of the main principles behind randomized benchmarking techniques. A newcomer to the field faces the challenge that a considerable amount of background knowledge is required to get familiar with […]


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Distribution Guidance Network for Weakly Supervised Point Cloud Semantic Segmentation

Kavli Affiliate: Wei Gao | First 5 Authors: Zhiyi Pan, Wei Gao, Shan Liu, Ge Li, | Summary: Despite alleviating the dependence on dense annotations inherent to fully supervised methods, weakly supervised point cloud semantic segmentation suffers from inadequate supervision signals. In response to this challenge, we introduce a novel perspective that imparts auxiliary constraints […]


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Distribution Guidance Network for Weakly Supervised Point Cloud Semantic Segmentation

Kavli Affiliate: Wei Gao | First 5 Authors: Zhiyi Pan, Wei Gao, Shan Liu, Ge Li, | Summary: Despite alleviating the dependence on dense annotations inherent to fully supervised methods, weakly supervised point cloud semantic segmentation suffers from inadequate supervision signals. In response to this challenge, we introduce a novel perspective that imparts auxiliary constraints […]


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Causal Image Modeling for Efficient Visual Understanding

Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, Timing Yang, Yaodong Yu, Sucheng Ren, Guoyizhe Wei | Summary: In this work, we present a comprehensive analysis of causal image modeling and introduce the Adventurer series models where we treat images as sequences of patch tokens and employ uni-directional language models to learn visual […]


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