Broad-band Spectral Modeling of Prompt Emission from Gamma-Ray Bursts Observed by the Transiting Exoplanet Survey Satellite

Kavli Affiliate: Michael Fausnaugh | Summary:Optical observations of gamma-ray bursts (GRBs) contemporaneous with their prompt high-energy emission are rare, but they can provide insights into the physical processes underlying these explosive events. The Transiting Exoplanet Survey Satellite’s (TESS) large field of view and continuous observation capabilities make it uniquely positioned to detect and characterize prompt […]


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Data-Semantics-Aware Recommendation of Diverse Pivot Tables

Kavli Affiliate: Hsiao-Mei (Sherry) Cho| First 5 Authors: [#item_custom_name[1, [#item_custom_name[2, [#item_custom_name[3, [#item_custom_name[4, [#item_custom_name[5| Summary:Data summarization is essential to discover insights from large datasets. In a spreadsheets, pivot tables offer a convenient way to summarize tabular data by computing aggregates over some attributes, grouped by others. However, identifying attribute combinations that will result in useful pivot […]


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Matrix-product entanglement characterizing the optimality of state-preparation quantum circuits

Kavli Affiliate: Gang Su | First 5 Authors: Shuo Qi, Shuo Qi, , , | Summary: Multipartite entanglement offers a powerful framework for understanding the complex collective phenomena in quantum many-body systems that are often beyond the description of conventional bipartite entanglement measures. Here, we propose a class of multipartite entanglement measures that incorporate the […]


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BlueLM-2.5-3B Technical Report

Kavli Affiliate: Feng Wang | First 5 Authors: Baojiao Xiong, Baojiao Xiong, , , | Summary: We present BlueLM-2.5-3B, a compact and unified dense Multimodal Large Language Model (MLLM) designed for efficient edge-device deployment, offering strong general-purpose and reasoning capabilities. To the best of our knowledge, this is the first 3B-scale MLLM to support both […]


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Communication-Efficient Module-Wise Federated Learning for Grasp Pose Detection in Cluttered Environments

Kavli Affiliate: Hsiao-Mei (Sherry) Cho| First 5 Authors: [#item_custom_name[1, [#item_custom_name[2, [#item_custom_name[3, [#item_custom_name[4, [#item_custom_name[5| Summary:Grasp pose detection (GPD) is a fundamental capability for robotic autonomy, but its reliance on large, diverse datasets creates significant data privacy and centralization challenges. Federated Learning (FL) offers a privacy-preserving solution, but its application to GPD is hindered by the substantial […]


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Time-domain interferences as the source of electron-ion entanglement in Rabi-dressed photoemission

Kavli Affiliate: Richard Dubois| First 5 Authors: Léonardo Rico, Léonardo Rico, , , | Summary:We investigate bipartite entanglement between a photoelectron and its parent ion when the latter undergoes Rabi oscillations, following the recent experiment of [Nandi et al. Science Advances 10, eado0668 (2024)]. Using numerical simulations on a model atom, we show that this […]


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Spin Current Generation Controlled by the Néel State in a Compensated Ferrimagnet

Kavli Affiliate: Mamoru Matsuo | Summary:Compensated ferrimagnets, which break sublattice and time-reversal symmetries in the ground state, exhibit an isotropic ferromagnet-like spin splitting despite a vanishing net magnetization, in contrast to altermagnets with momentum-dependent spin splitting. We investigate how isotropic spin splitting manifests in spin transport by analyzing the spin Seebeck effect and spin pumping […]


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Noise-Canceling Quantum Feedback: non-Hermitian Dynamics with Applications to State Preparation and Magic State Distillation

Kavli Affiliate: Birgitta Whaley | Summary:Time-continuous quantum measurement allows for the tracking of a quantum system in real time via sequences of short, and individually weak, measurement intervals. Such measurements are necessarily invasive, imparting backaction to the system, and allowing the observer to update their state estimate based on stochastic measurement outcomes. Feedback control then […]


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MP-ALOE: An r2SCAN dataset for universal machine learning interatomic potentials

Kavli Affiliate: Kristin Persson | Summary:We present MP-ALOE, a dataset of nearly 1 million DFT calculations using the accurate r2SCAN meta-generalized gradient approximation. Covering 89 elements, MP-ALOE was created using active learning and primarily consists of off-equilibrium structures. We benchmark a machine learning interatomic potential trained on MP-ALOE, and evaluate its performance on a series […]


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MP-ALOE: An r2SCAN dataset for universal machine learning interatomic potentials

Kavli Affiliate: Kristin A. Persson | First 5 Authors: Matthew C. Kuner, Matthew C. Kuner, , , | Summary: We present MP-ALOE, a dataset of nearly 1 million DFT calculations using the accurate r2SCAN meta-generalized gradient approximation. Covering 89 elements, MP-ALOE was created using active learning and primarily consists of off-equilibrium structures. We benchmark a […]


Continue.. MP-ALOE: An r2SCAN dataset for universal machine learning interatomic potentials