Kavli Affiliate: 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 its sources are presumably located faraway. For nearby GW sources, however, this […]
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 […]
Kavli Affiliate: Viatcheslav Dobrovitski | 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 spin provides a spin-photon interface, ancilla nuclear spins could enable multi-qubit registers with longer storage times. In this […]
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 […]
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 […]
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 […]
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 […]
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 […]
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 […]
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 […]