Zobrazeno 1 - 10
of 1 157
pro vyhledávání: '"LI Xuegang"'
Autor:
Li, Xuegang, Jiang, Wenjie, Hua, Ziyue, Wang, Weiting, Pan, Xiaoxuan, Cai, Weizhou, Lu, Zhide, Han, Jiaxiu, Wu, Rebing, Zou, Chang-Ling, Deng, Dong-Ling, Sun, Luyan
Quantum state tomography, a process that reconstructs a quantum state from measurements on an ensemble of identically prepared copies, plays a crucial role in benchmarking quantum devices. However, brute-force approaches to quantum state tomography w
Externí odkaz:
http://arxiv.org/abs/2407.15102
Publikováno v:
Di-san junyi daxue xuebao, Vol 41, Iss 24, Pp 2393-2400 (2019)
Objective To investigate the effect of TAS102 on the proliferation of α-thalassemia mental retardation X-linked (ATRX)-deficient U87 glioma cells in vitro and explore the mechanism. Methods Wild-type glioma U87 cells and ATRX knockout U87 cells (U87
Externí odkaz:
https://doaj.org/article/089d3a310e814c338a733c1dd1be8658
Publikováno v:
He jishu, Vol 45, Iss 9, Pp 090501-090501 (2022)
BackgroundWith the continuous development of nuclear technology, radioactive material exploration requires higher and higher detection accuracy of aerial gamma energy spectrometer, meanwhile, the wavelet packet soft threshold noise reduction method h
Externí odkaz:
https://doaj.org/article/8861f715cd444ccf8ff9867316857884
Publikováno v:
Di-san junyi daxue xuebao, Vol 41, Iss 5, Pp 437-441 (2019)
Objective To determine the efficiency of autofluorescence technique in screening of glioma stem cells (GSCs). Methods Since GSCs favor riboflavin, the agent was added to the culture medium of normal glioma stem cells. Then flow cytometry was employed
Externí odkaz:
https://doaj.org/article/adf1e6778891467a97190d19ff70d732
Autor:
Liu, Pei, Wang, Ruixia, Zhang, Jing-Ning, Zhang, Yingshan, Cai, Xiaoxia, Xu, Huikai, Li, Zhiyuan, Han, Jiaxiu, Li, Xuegang, Xue, Guangming, Liu, Weiyang, You, Li, Jin, Yirong, Yu, Haifeng
Publikováno v:
Phys. Rev. X 13, 021028 (2023)
Quantum computation architecture based on $d$-level systems, or qudits, has attracted considerable attention recently due to their enlarged Hilbert space. Extensive theoretical and experimental studies have addressed aspects of algorithms and benchma
Externí odkaz:
http://arxiv.org/abs/2304.11841
Autor:
Li, Xuegang, Xu, Huikai, Wang, Junhua, Tang, Ling-Zhi, Zhang, Dan-Wei, Yang, Chuhong, Su, Tang, Wang, Chenlu, Mi, Zhenyu, Sun, Weijie, Liang, Xuehui, Chen, Mo, Li, Chengyao, Zhang, Yingshan, Linghu, Kehuan, Han, Jiaxiu, Liu, Weiyang, Feng, Yulong, Liu, Pei, Xue, Guangming, Zhang, Jingning, Jin, Yirong, Zhu, Shi-Liang, Yu, Haifeng, Zhao, S. P., Xue, Qi-Kun
We explore topology-localization phase diagram by simulating one-dimensional Su-Schrieffer-Heeger (SSH) model with quasiperiodic disorder using a programmable superconducting simulator. We experimentally map out and identify various trivial and topol
Externí odkaz:
http://arxiv.org/abs/2301.12138
Autor:
Pan, Xiaoxuan, Lu, Zhide, Wang, Weiting, Hua, Ziyue, Xu, Yifang, Li, Weikang, Cai, Weizhou, Li, Xuegang, Wang, Haiyan, Song, Yi-Pu, Zou, Chang-Ling, Deng, Dong-Ling, Sun, Luyan
Publikováno v:
Nature Communications volume 14, Article number: 4006 (2023)
Deep learning and quantum computing have achieved dramatic progresses in recent years. The interplay between these two fast-growing fields gives rise to a new research frontier of quantum machine learning. In this work, we report the first experiment
Externí odkaz:
http://arxiv.org/abs/2212.02521
Autor:
Zhao, Peng, Zhang, Yingshan, Li, Xuegang, Han, Jiaxiu, Xu, Huikai, Xue, Guangming, Jin, Yirong, Yu, Haifeng
Crosstalk is a major concern in the implementation of large-scale quantum computation since it can degrade the performance of qubit addressing and cause gate errors. Finding the origin of crosstalk and separating contributions from different channels
Externí odkaz:
http://arxiv.org/abs/2206.03710
Autor:
Pan, Xiaoxuan, Cao, Xi, Wang, Weiting, Hua, Ziyue, Cai, Weizhou, Li, Xuegang, Wang, Haiyan, Hu, Jiaqi, Song, Yipu, Deng, Dong-Ling, Zou, Chang-Ling, Wu, Re-Bing, Sun, Luyan
Machine learning can be substantially powered by a quantum computer owing to its huge Hilbert space and inherent quantum parallelism. In the pursuit of quantum advantages for machine learning with noisy intermediate-scale quantum devices, it was prop
Externí odkaz:
http://arxiv.org/abs/2203.09080
Autor:
Wen, Lilian, Dai, Jiajia, Song, Jinming, Ma, Jun, Li, Xuegang, Yuan, Huamao, Duan, Liqin, Wang, Qidong
Publikováno v:
In Marine Pollution Bulletin November 2024 208