Operating semiconductor quantum processors with hopping spins

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 […]


Continue.. Operating semiconductor quantum processors with hopping spins

Operating semiconductor quantum processors with hopping spins

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 […]


Continue.. Operating semiconductor quantum processors with hopping spins

Phononic Crystals in Superfluid Thin-Film Helium

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 […]


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A Hierarchical Dataflow-Driven Heterogeneous Architecture for Wireless Baseband Processing

Kavli Affiliate: Feng Yuan | First 5 Authors: Limin Jiang, Yi Shi, Haiqin Hu, Qingyu Deng, Siyi Xu | Summary: Wireless baseband processing (WBP) is a key element of wireless communications, with a series of signal processing modules to improve data throughput and counter channel fading. Conventional hardware solutions, such as digital signal processors (DSPs) […]


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The fundamental plane of black hole activity for low-luminosity radio active galactic nuclei across 1 < z < 4

Kavli Affiliate: Luis C. Ho | First 5 Authors: Yijun Wang, Tao Wang, Luis C. Ho, Yuxing Zhong, Bin Luo | Summary: The fundamental plane of back hole activity (BHFP) describes the correlation between radio luminosity ($L_R$), X-ray luminosity ($L_X$), and black hole mass ($M_{BH}$). It reflects a connection between accretion disc and jet. However, […]


Continue.. The fundamental plane of black hole activity for low-luminosity radio active galactic nuclei across 1 < z < 4

The FLAMINGO simulation view of cluster progenitors observed in the epoch of reionization with JWST

Kavli Affiliate: Roberto Maiolino | First 5 Authors: Seunghwan Lim, Sandro Tacchella, Joop Schaye, Matthieu Schaller, Jakob M. Helton | Summary: Motivated by the recent JWST discovery of galaxy overdensities during the Epoch of Reionzation, we examine the physical properties of high-$z$ protoclusters and their evolution using the FLAMINGO simulation suite. We investigate the impact […]


Continue.. The FLAMINGO simulation view of cluster progenitors observed in the epoch of reionization with JWST

The FLAMINGO simulation view of cluster progenitors observed in the epoch of reionization with JWST

Kavli Affiliate: Roberto Maiolino | First 5 Authors: Seunghwan Lim, Sandro Tacchella, Joop Schaye, Matthieu Schaller, Jakob M. Helton | Summary: Motivated by the recent JWST discovery of galaxy overdensities during the Epoch of Reionzation, we examine the physical properties of high-$z$ protoclusters and their evolution using the FLAMINGO simulation suite. We investigate the impact […]


Continue.. The FLAMINGO simulation view of cluster progenitors observed in the epoch of reionization with JWST

Bit Rate Matching Algorithm Optimization in JPEG-AI Verification Model

Kavli Affiliate: Jing Wang | First 5 Authors: Panqi Jia, A. Burakhan Koyuncu, Jue Mao, Ze Cui, Yi Ma | Summary: The research on neural network (NN) based image compression has shown superior performance compared to classical compression frameworks. Unlike the hand-engineered transforms in the classical frameworks, NN-based models learn the non-linear transforms providing more […]


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Model X-ray:Detecting Backdoored Models via Decision Boundary

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 […]


Continue.. Model X-ray:Detecting Backdoored Models via Decision Boundary

Model X-ray:Detect Backdoored Models via Decision Boundary

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 […]


Continue.. Model X-ray:Detect Backdoored Models via Decision Boundary