Zobrazeno 1 - 10
of 292
pro vyhledávání: '"Wang, Yuexuan"'
Characterizing multipartite quantum systems is crucial for quantum computing and many-body physics. The problem, however, becomes challenging when the system size is large and the properties of interest involve correlations among a large number of pa
Externí odkaz:
http://arxiv.org/abs/2310.11807
Neural networks are a promising tool for characterizing intermediate-scale quantum devices from limited amounts of measurement data. A challenging problem in this area is to learn the action of an unknown quantum process on an ensemble of physically
Externí odkaz:
http://arxiv.org/abs/2308.08815
The task of testing whether two uncharacterized quantum devices behave in the same way is crucial for benchmarking near-term quantum computers and quantum simulators, but has so far remained open for continuous-variable quantum systems. In this Lette
Externí odkaz:
http://arxiv.org/abs/2211.01668
Federated learning (FL) and split learning (SL) are the two popular distributed machine learning (ML) approaches that provide some data privacy protection mechanisms. In the time-series classification problem, many researchers typically use 1D convol
Externí odkaz:
http://arxiv.org/abs/2203.04305
Autor:
Guo, Li, Zhang, Sai, Zhang, Cong, Ren, Shuang, Zhou, Zihan, Wang, Fengyuan, Wang, Yuexuan, Chen, Qiqi, Wang, Yubing, Lee, Wen-Hui, Zhu, Kui, Qin, Di, Gao, Yuanyuan, Sun, Tongyi
Publikováno v:
In International Immunopharmacology 15 November 2024 141
Differences in HDL-related coronary heart disease risk between individuals with and without diabetes
Autor:
Chen, Jun-Xiang, Lu, Qi, Geng, Tingting, Wang, Yuexuan, Wang, Yi, Li, Rui, Xia, Peng-Fei, Guo, Kun-Quan, Yang, Kun, Tong, Wen-Wei, Liu, Gang, Pan, An, Liao, Yun-Fei
Publikováno v:
In Atherosclerosis October 2024 397
Autor:
Zhang, Yuan, Qian, Jinheng, Fu, Yanneng, Wang, Zihan, Hu, Wanping, Zhang, Jinxia, Wang, Yuexuan, Guo, Yangyang, Chen, Weikang, Zhang, Yejun, Wang, Xuebao, Xie, Zixin, Ye, Hui, Ye, Faqing, Zuo, Zhigui
Publikováno v:
In BBA - Molecular Basis of Disease October 2024 1870(7)
Publikováno v:
In Developmental and Comparative Immunology January 2025 162
Publikováno v:
Nat Commun 13, 6222 (2022)
Deep neural networks are a powerful tool for the characterization of quantum states. Existing networks are typically trained with experimental data gathered from the specific quantum state that needs to be characterized. But is it possible to train a
Externí odkaz:
http://arxiv.org/abs/2202.06804
In the model of quantum cloud computing, the server executes a computation on the quantum data provided by the client. In this scenario, it is important to reduce the amount of quantum communication between the client and the server. A possible appro
Externí odkaz:
http://arxiv.org/abs/2112.12369