Kavli Affiliate: Menno Veldhorst | First 5 Authors: Chien-An Wang, Valentin John, Hanifa Tidjani, Cécile X. Yu, Alexander Ivlev | Summary: Qubits that can be efficiently controlled are pivotal in the development of scalable quantum hardware. Resonant control is commonly embraced to execute high-fidelity quantum gates but demands integration of high-frequency oscillating signals and results […]
Kavli Affiliate: Menno Veldhorst | First 5 Authors: Chien-An Wang, Valentin John, Hanifa Tidjani, Cécile X. Yu, Alexander Ivlev | Summary: Qubits that can be efficiently controlled are pivotal in the development of scalable quantum hardware. Resonant control is commonly embraced to execute high-fidelity quantum gates but demands integration of high-frequency oscillating signals and results […]
Kavli Affiliate: Menno Veldhorst | First 5 Authors: Chien-An Wang, Valentin John, Hanifa Tidjani, Cécile X. Yu, Alexander S. Ivlev | Summary: Qubits that can be efficiently controlled are essential for the development of scalable quantum hardware. While resonant control is used to execute high-fidelity quantum gates, the scalability is challenged by the integration of […]
Kavli Affiliate: Simon Groblacher | First 5 Authors: Alexander Rolf Korsch, Niccolò Fiaschi, Simon Gröblacher, , | Summary: In recent years, nanomechanical oscillators in thin films of superfluid helium have attracted attention in the field of optomechanics due to their exceptionally low mechanical dissipation and optical scattering. Mechanical excitations in superfluid thin films – so-called […]
Kavli Affiliate: Ting Xu | First 5 Authors: Yanghao Su, Jie Zhang, Ting Xu, Tianwei Zhang, Weiming Zhang | Summary: Deep neural networks (DNNs) have revolutionized various industries, leading to the rise of Machine Learning as a Service (MLaaS). In this paradigm, well-trained models are typically deployed through APIs. However, DNNs are susceptible to backdoor […]
Kavli Affiliate: Ting Xu | First 5 Authors: Yanghao Su, Jie Zhang, Ting Xu, Tianwei Zhang, Weiming Zhang | Summary: Backdoor attacks pose a significant security vulnerability for deep neural networks (DNNs), enabling them to operate normally on clean inputs but manipulate predictions when specific trigger patterns occur. Currently, post-training backdoor detection approaches often operate […]
Kavli Affiliate: Ariel Amir | First 5 Authors: Cesar L. Pastrana, Luyi Qiu, John W. Hutchinson, Ariel Amir, Ulrich Gerland | Summary: Take a drinking straw and bend it from its ends. After sufficient bending, the tube buckles forming a kink, where the curvature is localized in a very small area. This instability, known generally […]
Kavli Affiliate: Ariel Amir | First 5 Authors: Cesar L. Pastrana, Luyi Qiu, John W. Hutchinson, Ariel Amir, Ulrich Gerland | Summary: Take a drinking straw and bend it from its ends. After sufficient bending, the tube buckles forming a kink, where the curvature is localized in a very small area. This instability, known generally […]
Kavli Affiliate: Feng Wang | First 5 Authors: Isabelle Mohr, Markus Krimmel, Saba Sturua, Mohammad Kalim Akram, Andreas Koukounas | Summary: We introduce a novel suite of state-of-the-art bilingual text embedding models that are designed to support English and another target language. These models are capable of processing lengthy text inputs with up to 8192 […]
Kavli Affiliate: Feng Wang | First 5 Authors: Yiding Sun, Feng Wang, Yutao Zhu, Wayne Xin Zhao, Jiaxin Mao | Summary: The ability of the foundation models heavily relies on large-scale, diverse, and high-quality pretraining data. In order to improve data quality, researchers and practitioners often have to manually curate datasets from difference sources and […]