Zobrazeno 1 - 10
of 739
pro vyhledávání: '"Wang Dong-Sheng"'
Publikováno v:
Phys. Rev. A 110, 032413 (2024)
Error-correction codes are central for fault-tolerant information processing. Here we develop a rigorous framework to describe various coding models based on quantum resource theory of superchannels. We find, by treating codings as superchannels, a h
Externí odkaz:
http://arxiv.org/abs/2409.09416
Publikováno v:
Cailiao gongcheng, Vol 47, Iss 2, Pp 42-48 (2019)
Using solid-phase reaction process to synthesize La0.7Ca0.3CrO3-δ(LCC) primary powder, composite hollow fiber membrane of NiO/LCC (1:1) was prepared by phase-conversion spinning method and then sintered at 1400℃ in air as micro-tubular solid oxide
Externí odkaz:
https://doaj.org/article/2df3c81bd556451ca23e5c5481644d45
Publikováno v:
Archives of Biological Sciences, Vol 71, Iss 3, Pp 525-531 (2019)
The microbial community in the rhizosphere is thought to provide plants with a second set of genomes, which plays a pivotal role in plant growth. In the present study, soil samples were collected from the rhizosphere of an endangered plant, Paeonia j
Externí odkaz:
https://doaj.org/article/2b38fe8bb410481ea097053b2e6c1128
Publikováno v:
Archives of Biological Sciences, Vol 69, Iss 2, Pp 345-351 (2017)
Actinomycetes are important producers of novel bioactive compounds. New sources need to be explored for isolating previously unknown bioactive compound-producing actinomycetes. Here we evaluated the potential of bark as a natural source of novel b
Externí odkaz:
https://doaj.org/article/129a6a151dcd4648a43d2d73d6959b87
Autor:
Li, Hang, Wang, Kai, Wei, Shijie, Yang, Fan, Chen, Xinyu, Sanders, Barry C., Wang, Dong-Sheng, Long, Gui-Lu
Publikováno v:
New J. Phys. 26 013037 (2024)
Simulating quantum physical processes has been one of the major motivations for quantum information science. Quantum channels, which are completely positive and trace preserving processes, are the standard mathematical language to describe quantum ev
Externí odkaz:
http://arxiv.org/abs/2308.14262
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
Publikováno v:
In Journal of Manufacturing Processes 15 August 2024 123:1-12
Publikováno v:
In Soil Dynamics and Earthquake Engineering December 2024 187
Autor:
Song, Xin-Yi, Zhang, Pei-Pei, Liu, Xiu-Bo, Cheng, Wei, Liu, Zhi-Yuan, Li, Xin-Gong, Zheng, Jun, Wang, Dong-Sheng, Zhu, Jin-Peng
Publikováno v:
In Vacuum December 2024 230
Autor:
MA, Wen-qian, CUI, Shuo, HU, Jing, CHEN, Zhong-jie, HUO, Jin, LIU, Ya-ping, WANG, Xiao-yu, SONG, Zi-wei, GAO, Qi, MA, Shu-hua, ZHANG, Yi, WU, Zhong-chao, ZHAO, Ji-ping, JING, Xiang-hong, WU, Xiao-dong, FEI, Yu-tong, XU, Bin, CHEN, Shao-zong, QIAN, Cheng, YANG, Chun-gui, ZHANG, Dong-qing, ZHAO, Ling, LI, Bin, Petti, Filomena, Liguori, Aldo, Llopis, Carlos, Skopalik, Claudia, DONG, Zhao, YIN, Jian, HUA, Zhen, WANG, Dong-sheng, Lutterjohann, Gerd, JIAO, Yue, WANG, Jing-jing
Publikováno v:
In World Journal of Acupuncture – Moxibustion July 2024 34(3):204-212