Zobrazeno 1 - 10
of 53 032
pro vyhledávání: '"A. Nai"'
Bayesian optimization (BO) with Gaussian process (GP) surrogate models is a powerful black-box optimization method. Acquisition functions are a critical part of a BO algorithm as they determine how the new samples are selected. Some of the most widel
Externí odkaz:
http://arxiv.org/abs/2412.18789
We present a beam-splitter-free, high-bit rate, device-independent quantum random number generator (DI-QRNG) with real-time quantumness certification via live Bell test data. Using a 20-mm-long, type-0 phase-matched PPKTP crystal in a polarization Sa
Externí odkaz:
http://arxiv.org/abs/2412.18285
Autor:
Ou, Zhigang, Nai, Congyi, Pan, Baoxiang, Pan, Ming, Shen, Chaopeng, Jiang, Peishi, Liu, Xingcai, Tang, Qiuhong, Li, Wenqing, Zheng, Yi
Reliable flood forecasting remains a critical challenge due to persistent underestimation of peak flows and inadequate uncertainty quantification in current approaches. We present DRUM (Diffusion-based Runoff Model), a generative AI solution for prob
Externí odkaz:
http://arxiv.org/abs/2412.11942
Accurate weather forecasting is essential for socioeconomic activities. While data-driven forecasting demonstrates superior predictive capabilities over traditional Numerical Weather Prediction (NWP) with reduced computational demands, its determinis
Externí odkaz:
http://arxiv.org/abs/2412.08377
Autor:
Wang, Zhao-An, Zeng, Xiao-Dong, Wang, Yi-Tao, Ren, Jia-Ming, Ao, Chun, Li, Zhi-Peng, Liu, Wei, Guo, Nai-Jie, Xie, Lin-Ke, Liu, Jun-You, Ma, Yu-Hang, Wu, Ya-Qi, Wang, Shuang, Tang, Jian-Shun, Li, Chuan-Feng, Guo, Guang-Can
Investigating physical models with photonic synthetic dimensions has been generating great interest in vast fields of science. The rapid developing thin-film lithium niobate (TFLN) platform, for its numerous advantages including high electro-optic co
Externí odkaz:
http://arxiv.org/abs/2411.13331
Complementary-label learning (CLL) is a weakly supervised learning paradigm for multiclass classification, where only complementary labels -- indicating classes an instance does not belong to -- are provided to the learning algorithm. Despite CLL's i
Externí odkaz:
http://arxiv.org/abs/2411.12276
Autor:
Li, Chun, Shen, Chao, Ma, Xuekai, Jiang, Nai, Song, Jiepeng, Tang, Kwok Kwan, Deng, Xinyi, Guo, Jiaqi, Liu, Xinfeng, Zhang, Qing
2D van der Waals (vdW) magnetic semiconductors offer an ideal platform to achieve exciton-polaritons correlated with magnetic orders for developing solid-state quantum, spintronic, and photonic devices. However, in the as-demonstrated systems, the co
Externí odkaz:
http://arxiv.org/abs/2411.11555
Autor:
Ren, Shu-Liang, Pang, Simin, Guan, Shan, Sun, Yu-Jia, Zhang, Tian-Yu, Jiang, Nai, Guo, Jiaqi, Zheng, Hou-Zhi, Luo, Jun-Wei, Tan, Ping-Heng, Shen, Chao, Zhang, Jun
Broken symmetry plays a pivotal role in determining the macroscopic electrical, optical, magnetic, and topological properties of materials. Circular dichroism (CD) has been widely employed to probe broken symmetry in various systems, from small molec
Externí odkaz:
http://arxiv.org/abs/2411.08667
Autor:
Zhang, Nai-Bo, Li, Bao-An
The density dependence of nuclear symmetry energy $E_{\rm sym}(\rho)$ remains the most uncertain aspect of the equation of state (EOS) of supradense neutron-rich nucleonic matter. Implications of observational crustal fraction of neutron star (NS) mo
Externí odkaz:
http://arxiv.org/abs/2411.06238
Quantum computing introduces many problems rooted in physics, asking to compute information from input quantum states. Determining the complexity of these problems has implications for both computer science and physics. However, as existing complexit
Externí odkaz:
http://arxiv.org/abs/2411.03716