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pro vyhledávání: '"Zhang, Kuan"'
Autor:
Zhang, Chi, Zhong, Huaping, Zhang, Kuan, Chai, Chengliang, Wang, Rui, Zhuang, Xinlin, Bai, Tianyi, Qiu, Jiantao, Cao, Lei, Yuan, Ye, Wang, Guoren, He, Conghui
Data selection is of great significance in pre-training large language models, given the variation in quality within the large-scale available training corpora. To achieve this, researchers are currently investigating the use of data influence to mea
Externí odkaz:
http://arxiv.org/abs/2409.16986
Autor:
Chen, Chen, Liu, Liuming, Sun, Peng, Yang, Yi-Bo, Geng, Yiqi, Yao, Fei, Zhang, Jian-Hui, Zhang, Kuan
We report a lattice QCD calculation of the parton distribution function (PDF) of a deuteron-like dibaryon system using large-momentum effective theory. The calculation is done on three Wilson Clover ensembles with a fixed lattice spacing a=0.105 fm a
Externí odkaz:
http://arxiv.org/abs/2408.12819
In this paper, we study reflected backward stochastic differential equations driven by rough paths (rough RBSDEs), which can be understood as a probabilistic representation of nonlinear rough partial differential equations (rough PDEs) or stochastic
Externí odkaz:
http://arxiv.org/abs/2407.17898
Autor:
Zhang, Kuan, Huo, Yi-Kai, Ji, Xiangdong, Schaefer, Andreas, Shi, Chun-Jiang, Sun, Peng, Wang, Wei, Yang, Yi-Bo, Zhang, Jian-Hui
We analyze the gauge fixing precision dependence of some non-local quark-blinear lattice operators interesting in computing parton physics for several measurements, using 5 lattice spacings ranging from 0.032 fm to 0.121 fm. Our results show that gau
Externí odkaz:
http://arxiv.org/abs/2405.14097
E-health allows smart devices and medical institutions to collaboratively collect patients' data, which is trained by Artificial Intelligence (AI) technologies to help doctors make diagnosis. By allowing multiple devices to train models collaborative
Externí odkaz:
http://arxiv.org/abs/2404.10110
The principle and experimental realization of a novel Raman spectroscopic technique entitled stimulated Raman phase shift (SRPS) spectroscopy was demonstrated. This technique depends on the measurement of the stimulated Raman scattering (SRS) induced
Externí odkaz:
http://arxiv.org/abs/2403.03417
Autor:
Lu, Yao, Chen, Wentao, Zhang, Shuaining, Zhang, Kuan, Zhang, Jialiang, Zhang, Jing-Ning, Kim, Kihwan
A promising paradigm of quantum computing for achieving practical quantum advantages is quantum annealing or quantum approximate optimization algorithm, where the classical problems are encoded in Ising interactions. However, it is challenging to bui
Externí odkaz:
http://arxiv.org/abs/2311.04864
Recently, anchor-based trajectory prediction methods have shown promising performance, which directly selects a final set of anchors as future intents in the spatio-temporal coupled space. However, such methods typically neglect a deeper semantic int
Externí odkaz:
http://arxiv.org/abs/2304.11295
Autor:
Chen, Wentao, Zhang, Shuaining, Zhang, Jialiang, Su, Xiaolu, Lu, Yao, Zhang, Kuan, Qiao, Mu, Li, Ying, Zhang, Jing-Ning, Kim, Kihwan
Publikováno v:
npj Quantum Information 9, 122 (2023)
Quantum error mitigation has been extensively explored to increase the accuracy of the quantum circuits in noisy-intermediate-scale-quantum (NISQ) computation, where quantum error correction requiring additional quantum resources is not adopted. Amon
Externí odkaz:
http://arxiv.org/abs/2302.10436