Research on Early Warning Model of Cardiovascular Disease Based on Computer Deep Learning

Kavli Affiliate: Ting Xu | First 5 Authors: Yuxiang Hu, Jinxin Hu, Ting Xu, Bo Zhang, Jiajie Yuan | Summary: This project intends to study a cardiovascular disease risk early warning model based on one-dimensional convolutional neural networks. First, the missing values of 13 physiological and symptom indicators such as patient age, blood glucose, cholesterol, […]


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Optical Investigations of Coherence and Relaxation Dynamics of a Thulium-doped Yttrium Gallium Garnet Crystal at sub-Kelvin Temperatures for Optical Quantum Memory

Kavli Affiliate: Wolfgang Tittel | First 5 Authors: Antariksha Das, Mohsen Falamarzi Askarani, Jacob H. Davidson, Neil Sinclair, Joshua A. Slater | Summary: Rare-earth ion-doped crystals are of great interest for quantum memories, a central component in future quantum repeaters. To assess the promise of 1$%$ Tm$^{3+}$-doped yttrium gallium garnet (Tm:YGG), we report measurements of […]


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Coherent Erbium Spin Defects in Colloidal Nanocrystal Hosts

Kavli Affiliate: Paul Alivisatos | First 5 Authors: Joeson Wong, Mykyta Onizhuk, Jonah Nagura, Arashdeep S. Thind, Jasleen K. Bindra | Summary: We demonstrate nearly a microsecond of spin coherence in Er3+ ions doped in cerium dioxide nanocrystal hosts, despite a large gyromagnetic ratio and nanometric proximity of the spin defect to the nanocrystal surface. […]


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SSNVC: Single Stream Neural Video Compression with Implicit Temporal Information

Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, Haihang Ruan, Zhihuang Xie, Ronggang Wang, Xiangyu Yue | Summary: Recently, Neural Video Compression (NVC) techniques have achieved remarkable performance, even surpassing the best traditional lossy video codec. However, most existing NVC methods heavily rely on transmitting Motion Vector (MV) to generate accurate contextual features, […]


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High-fidelity single-spin shuttling in silicon

Kavli Affiliate: Giordano Scappucci | First 5 Authors: Maxim De Smet, Yuta Matsumoto, Anne-Marije J. Zwerver, Larysa Tryputen, Sander L. de Snoo | Summary: The computational power and fault-tolerance of future large-scale quantum processors derive in large part from the connectivity between the qubits. One approach to increase connectivity is to engineer qubit-qubit interactions at […]


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Electrically Tunable Magnetoconductance of Close-Packed CVD Bilayer Graphene Layer Stacking Walls

Kavli Affiliate: Feng Wang | First 5 Authors: Qicheng Zhang, Sheng Wang, Zhaoli Gao, Sebastian Hurtado-Parra, Joel Berry | Summary: Quantum valley Hall (QVH) domain wall states are a new class of one-dimensional (1D) one-way conductors that are topologically protected in the absence of valley mixing. Development beyond a single QVH channel raises important new […]


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Hidden correlations in stochastic photoinduced dynamics of a solid-state electrolyte

Kavli Affiliate: Scott K. Cushing | First 5 Authors: Jackson McClellan, Alfred Zong, Kim H. Pham, Hanzhe Liu, Zachery W. B. Iton | Summary: Photoexcitation by ultrashort laser pulses plays a crucial role in controlling reaction pathways, creating nonequilibrium material properties, and offering a microscopic view of complex dynamics at the molecular level. The photo […]


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Spatial dependence of local density of states in semiconductor-superconductor hybrids

Kavli Affiliate: Srijit Goswami | First 5 Authors: Qingzhen Wang, Yining Zhang, Saurabh Karwal, Srijit Goswami, | Summary: Majorana bound states are expected to appear in one-dimensional semiconductor-superconductor hybrid systems, provided they are homogenous enough to host a global topological phase. In order to experimentally investigate the uniformity of the system, we study the spatial […]


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OmniControlNet: Dual-stage Integration for Conditional Image Generation

Kavli Affiliate: Xiang Zhang | First 5 Authors: Yilin Wang, Haiyang Xu, Xiang Zhang, Zeyuan Chen, Zhizhou Sha | Summary: We provide a two-way integration for the widely adopted ControlNet by integrating external condition generation algorithms into a single dense prediction method and incorporating its individually trained image generation processes into a single model. Despite […]


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