Quantum Circuit Switching with One-Way Repeaters in Star Networks

Kavli Affiliate: Stephanie Wehner | First 5 Authors: Álvaro G. Iñesta, Hyeongrak Choi, Dirk Englund, Stephanie Wehner, | Summary: Distributing quantum states reliably among distant locations is a key challenge in the field of quantum networks. One-way quantum networks address this by using one-way communication and quantum error correction. Here, we analyze quantum circuit switching […]


Continue.. Quantum Circuit Switching with One-Way Repeaters in Star Networks

Quantum Circuit Switching with One-Way Repeaters in Star Networks

Kavli Affiliate: Stephanie Wehner | First 5 Authors: Álvaro G. Iñesta, Hyeongrak Choi, Dirk Englund, Stephanie Wehner, | Summary: Distributing quantum states reliably among distant locations is a key challenge in the field of quantum networks. One-way quantum networks address this by using one-way communication and quantum error correction. Here, we analyze quantum circuit switching […]


Continue.. Quantum Circuit Switching with One-Way Repeaters in Star Networks

Probing Short-Range Correlations in the van der Waals Magnet CrSBr by Small-Angle Neutron Scattering

Kavli Affiliate: Herre S. J. Van Der Zant | First 5 Authors: Andrey Rybakov, Carla Boix-Constant, Diego Alba Venero, Herre S. J. van der Zant, Samuel Mañas-Valero | Summary: The layered metamagnet CrSBr offers a rich interplay between magnetic, optical and electrical properties that can be extended down to the two-dimensional (2D) limit. Despite the […]


Continue.. Probing Short-Range Correlations in the van der Waals Magnet CrSBr by Small-Angle Neutron Scattering

Predicting Many Properties of Crystals by a Single Deep Learning Model

Kavli Affiliate: Jing Wang | First 5 Authors: Haosheng Xu, Dongheng Qian, Jing Wang, , | Summary: The use of machine learning methods for predicting the properties of crystalline materials encounters significant challenges, primarily related to input encoding, output versatility, and interpretability. Here, we introduce CrystalBERT, an adaptable transformer-based framework with novel structure that integrates […]


Continue.. Predicting Many Properties of Crystals by a Single Deep Learning Model

Measurement of the energy dependence of the $e^+e^- to Bbar{B}$, $Bbar{B}{}^*$, and $B^*bar{B}{}^*$ cross sections at Belle~II

Kavli Affiliate: T. Higuchi | First 5 Authors: Belle II Collaboration, I. Adachi, L. Aggarwal, H. Ahmed, H. Aihara | Summary: We report measurements of the $e^+e^- to Bbar{B}$, $Bbar{B}{}^*$, and $B^*bar{B}{}^*$ cross sections at four energies, 10653, 10701, 10746 and 10805 MeV, using data collected by the Belle~II experiment. We reconstruct one $B$ meson […]


Continue.. Measurement of the energy dependence of the $e^+e^- to Bbar{B}$, $Bbar{B}{}^*$, and $B^*bar{B}{}^*$ cross sections at Belle~II

LP-3DGS: Learning to Prune 3D Gaussian Splatting

Kavli Affiliate: Cheng Peng | First 5 Authors: Zhaoliang Zhang, Tianchen Song, Yongjae Lee, Li Yang, Cheng Peng | Summary: Recently, 3D Gaussian Splatting (3DGS) has become one of the mainstream methodologies for novel view synthesis (NVS) due to its high quality and fast rendering speed. However, as a point-based scene representation, 3DGS potentially generates […]


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Can We Enhance the Quality of Mobile Crowdsensing Data Without Ground Truth?

Kavli Affiliate: Bo Gu | First 5 Authors: Jiajie Li, Bo Gu, Shimin Gong, Zhou Su, Mohsen Guizani | Summary: Mobile crowdsensing (MCS) has emerged as a prominent trend across various domains. However, ensuring the quality of the sensing data submitted by mobile users (MUs) remains a complex and challenging problem. To address this challenge, […]


Continue.. Can We Enhance the Quality of Mobile Crowdsensing Data Without Ground Truth?

Can We Enhance the Quality of Mobile Crowdsensing Data Without Ground Truth?

Kavli Affiliate: Bo Gu | First 5 Authors: Jiajie Li, Bo Gu, Shimin Gong, Zhou Su, Mohsen Guizani | Summary: Mobile crowdsensing (MCS) has emerged as a prominent trend across various domains. However, ensuring the quality of the sensing data submitted by mobile users (MUs) remains a complex and challenging problem. To address this challenge, […]


Continue.. Can We Enhance the Quality of Mobile Crowdsensing Data Without Ground Truth?

Photometric detection at $7.7 μmathrm{m}$ of a galaxy beyond redshift $14$ with JWST/MIRI

Kavli Affiliate: Roberto Maiolino | First 5 Authors: Jakob M. Helton, George H. Rieke, Stacey Alberts, Zihao Wu, Daniel J. Eisenstein | Summary: The James Webb Space Telescope (JWST) has spectroscopically confirmed numerous galaxies at $z > 10$. While weak rest-ultraviolet emission lines have only been seen in a handful of sources, the stronger rest-optical […]


Continue.. Photometric detection at $7.7 μmathrm{m}$ of a galaxy beyond redshift $14$ with JWST/MIRI

Influence of mid-infrared Galactic bubble on surroundings: A case study on IRAS 16489-4431

Kavli Affiliate: Ke Wang | First 5 Authors: Ariful Hoque, Tapas Baug, Lokesh Dewangan, Ke Wang, Tie Liu | Summary: We studied the influence of a massive star on a mid-infrared bubble and its surrounding gas in the IRAS,16489-4431 star-forming region using multi-wavelength data. The {it Spitzer} mid-infrared band images revealed the shocked nature of […]


Continue.. Influence of mid-infrared Galactic bubble on surroundings: A case study on IRAS 16489-4431