On Detecting Nearby Nano-Hertz Gravitational Wave Sources via Pulsar Timing Arrays

Kavli Affiliate: Qingjuan Yu | First 5 Authors: Xiao Guo, Youjun Lu, Qingjuan Yu, , | Summary: Massive binary black holes (MBBHs) in nearby galactic centers, if any, may be nano-Hertz gravitational wave (GW) sources for pulsar timing arrays (PTAs) to detect. Normally the objective GWs for PTA experiments are approximated as plane waves because […]


Continue.. On Detecting Nearby Nano-Hertz Gravitational Wave Sources via Pulsar Timing Arrays

On Detecting Nearby Nano-Hertz Gravitational Wave Sources via Pulsar Timing Arrays

Kavli Affiliate: Qingjuan Yu | First 5 Authors: Xiao Guo, Youjun Lu, Qingjuan Yu, , | Summary: Massive binary black holes (MBBHs) in nearby galactic centers, if any, may be nano-Hertz gravitational wave (GW) sources for pulsar timing arrays (PTAs) to detect. Normally the objective GWs for PTA experiments are approximated as plane waves because […]


Continue.. On Detecting Nearby Nano-Hertz Gravitational Wave Sources via Pulsar Timing Arrays

On Detecting Nearby Nano-Hertz Gravitational Wave Sources via Pulsar Timing Arrays

Kavli Affiliate: Qingjuan Yu | First 5 Authors: Xiao Guo, Youjun Lu, Qingjuan Yu, , | Summary: Massive binary black holes (MBBHs) in nearby galactic centers, if any, may be nano-Hertz gravitational wave (GW) sources for pulsar timing arrays (PTAs) to detect. Normally the objective GWs for PTA experiments are approximated as plane waves because […]


Continue.. On Detecting Nearby Nano-Hertz Gravitational Wave Sources via Pulsar Timing Arrays

Coherent control of a nuclear spin via interactions with a rare-earth ion in the solid-state

Kavli Affiliate: Viatcheslav V. Dobrovitski | First 5 Authors: Mehmet T. Uysal, Mouktik Raha, Songtao Chen, Christopher M. Phenicie, Salim Ourari | Summary: Individually addressed Er$^{3+}$ ions in solid-state hosts are promising resources for quantum repeaters, because of their direct emission in the telecom band and compatibility with silicon photonic devices. While the Er$^{3+}$ electron […]


Continue.. Coherent control of a nuclear spin via interactions with a rare-earth ion in the solid-state

Coherent control of a nuclear spin via interactions with a rare-earth ion in the solid-state

Kavli Affiliate: Viatcheslav V. Dobrovitski | First 5 Authors: Mehmet T. Uysal, Mouktik Raha, Songtao Chen, Christopher M. Phenicie, Salim Ourari | Summary: Individually addressed Er$^{3+}$ ions in solid-state hosts are promising resources for quantum repeaters, because of their direct emission in the telecom band and compatibility with silicon photonic devices. While the Er$^{3+}$ electron […]


Continue.. Coherent control of a nuclear spin via interactions with a rare-earth ion in the solid-state

Revealing the order parameter dynamics of 1T-TiSe$_2$ following optical excitation

Kavli Affiliate: Alessandra Lanzara | First 5 Authors: Maximilian Huber, Yi Lin, Nicholas Dale, Renee Sailus, Sefaattin Tongay | Summary: The formation of a charge density wave state is characterized by an order parameter. The way it is established provides unique information on both the role that correlation plays in driving the charge density wave […]


Continue.. Revealing the order parameter dynamics of 1T-TiSe$_2$ following optical excitation

Communication-Efficient and Privacy-Preserving Feature-based Federated Transfer Learning

Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, M. Cenk Gursoy, Senem Velipasalar, , | Summary: Federated learning has attracted growing interest as it preserves the clients’ privacy. As a variant of federated learning, federated transfer learning utilizes the knowledge from similar tasks and thus has also been intensively studied. However, due to […]


Continue.. Communication-Efficient and Privacy-Preserving Feature-based Federated Transfer Learning

DUET: A Tuning-Free Device-Cloud Collaborative Parameters Generation Framework for Efficient Device Model Generalization

Kavli Affiliate: Feng Wang | First 5 Authors: Zheqi Lv, Wenqiao Zhang, Shengyu Zhang, Kun Kuang, Feng Wang | Summary: Device Model Generalization (DMG) is a practical yet under-investigated research topic for on-device machine learning applications. It aims to improve the generalization ability of pre-trained models when deployed on resource-constrained devices, such as improving the […]


Continue.. DUET: A Tuning-Free Device-Cloud Collaborative Parameters Generation Framework for Efficient Device Model Generalization

MetaNetwork: A Task-agnostic Network Parameters Generation Framework for Improving Device Model Generalization

Kavli Affiliate: Feng Wang | First 5 Authors: Zheqi Lv, Feng Wang, Kun Kuang, Yongwei Wang, Zhengyu Chen | Summary: Deploying machine learning models on mobile devices has gained increasing attention. To tackle the model generalization problem with the limitations of hardware resources on the device, the device model needs to be lightweight by techniques […]


Continue.. MetaNetwork: A Task-agnostic Network Parameters Generation Framework for Improving Device Model Generalization

Measurement of the branching fractions and $CP$ asymmetries of $B^+ rightarrow π^+ π^0$ and $B^+ rightarrow K^+ π^0$ decays in 2019-2021 Belle II data

Kavli Affiliate: T. Higuchi | First 5 Authors: Belle II Collaboration, F. Abudinén, I. Adachi, K. Adamczyk, L. Aggarwal | Summary: We determine the branching fractions ${mathcal{B}}$ and $CP$ asymmetries ${mathcal{A}_{{it CP}}}$ of the decays $B^+ rightarrow pi^+ pi^0$ and $B^+ rightarrow K^+ pi^0$. The results are based on a data set containing 198 million […]


Continue.. Measurement of the branching fractions and $CP$ asymmetries of $B^+ rightarrow π^+ π^0$ and $B^+ rightarrow K^+ π^0$ decays in 2019-2021 Belle II data