Kavli Affiliate: Irfan Siddiqi | First 5 Authors: D. Dominic Briseño-Colunga, Bibek Bhandari, Debmalya Das, Long B. Nguyen, Yosep Kim | Summary: Modern superconducting and semiconducting quantum hardware use external charge and microwave flux drives to both tune and operate devices. However, each external drive is susceptible to low-frequency (e.g., $1/f$) noise that can drastically […]
Kavli Affiliate: Irfan Siddiqi | First 5 Authors: D. Dominic Briseño-Colunga, Bibek Bhandari, Debmalya Das, Long B. Nguyen, Yosep Kim | Summary: Modern superconducting and semiconducting quantum hardware use external charge and microwave flux drives to both tune and operate devices. However, each external drive is susceptible to low-frequency (e.g., $1/f$) noise that can drastically […]
Kavli Affiliate: Giordano Scappucci | First 5 Authors: Lucas E. A. Stehouwer, Merrit P. Losert, Maia Rigot, Davide Degli Esposti, Sara Martí-Sánchez | Summary: Electron spin qubits in Si/SiGe quantum wells are limited by the small and variable energy separation of the conduction band valleys. While sharp quantum well interfaces are pursued to increase the […]
Kavli Affiliate: Ting Xu | First 5 Authors: Ting Xu, Zhichao Huang, Jiankai Sun, Shanbo Cheng, Wai Lam | Summary: We present Sequential Policy Optimization for Simultaneous Machine Translation (SeqPO-SiMT), a new policy optimization framework that defines the simultaneous machine translation (SiMT) task as a sequential decision making problem, incorporating a tailored reward to enhance […]
Kavli Affiliate: Wei Gao | First 5 Authors: Xuan Zhang, Cunxiao Du, Sicheng Yu, Jiawei Wu, Fengzhuo Zhang | Summary: Due to the auto-regressive nature of current video large language models (Video-LLMs), the inference latency increases as the input sequence length grows, posing challenges for the efficient processing of video sequences that are usually very […]
Kavli Affiliate: Xiang Zhang | First 5 Authors: Zijie Qiu, Jiaqi Wei, Xiang Zhang, Sheng Xu, Kai Zou | Summary: De novo peptide sequencing is a critical task in proteomics. However, the performance of current deep learning-based methods is limited by the inherent complexity of mass spectrometry data and the heterogeneous distribution of noise signals, […]
Kavli Affiliate: Xiang Zhang | First 5 Authors: Hai Jiang, Chushan Zheng, Jiawei Pan, Yuanpin Zhou, Qiongting Liu | Summary: Background: Accurate assessment of metastatic burden in axillary lymph nodes is crucial for guiding breast cancer treatment decisions, yet conventional imaging modalities struggle to differentiate metastatic burden levels and capture comprehensive lymph node characteristics. This […]
Kavli Affiliate: Dan Luo | First 5 Authors: Feng Liu, Lixin Zou, Xiangyu Zhao, Min Tang, Liming Dong | Summary: Generative models, particularly diffusion model, have emerged as powerful tools for sequential recommendation. However, accurately modeling user preferences remains challenging due to the noise perturbations inherent in the forward and reverse processes of diffusion-based methods. […]
Kavli Affiliate: Debanjan Chowdhury | First 5 Authors: Omri Lesser, Sagnik Banerjee, Xuepeng Wang, Jaewon Kim, Ehud Altman | Summary: It is well known that disorder can induce low-energy Andreev bound states in a sign-changing, but fully gapped, superconductor at $pi-$junctions. Generically, these excitations are localized. Starting from a superconductor with a sign-changing and nodeless […]