Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Xinbiao Wang"'
Autor:
Hyokwang Park, Myeongjin Lee, Xinbiao Wang, Nasir Ali, Kenji Watanabe, Takashi Taniguchi, Euyheon Hwang, Won Jong Yoo
Publikováno v:
Communications Materials, Vol 5, Iss 1, Pp 1-7 (2024)
Abstract The in-plane anisotropy of electrical conductance in two-dimensional materials has garnered significant attention due to its potential in emerging device applications, offering an additional dimension to control carrier transport in 2D devic
Externí odkaz:
https://doaj.org/article/0b70b22bb3d04081881bad758483184a
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-8 (2024)
Abstract Entanglement serves as the resource to empower quantum computing. Recent progress has highlighted its positive impact on learning quantum dynamics, wherein the integration of entanglement into quantum operations or measurements of quantum ma
Externí odkaz:
https://doaj.org/article/bdc864926b424e9fad8ef73123109afe
Publikováno v:
Metals, Vol 12, Iss 6, p 1037 (2022)
5xxx series aluminum alloys have been widely used in automobiles, ships, aerospace and other fields for their low density, good corrosion resistance and weldability. The present study designs a new Al-10.0Mg-1.0Zn-0.15Cu (wt%) alloy with different co
Externí odkaz:
https://doaj.org/article/6c314ce8a4704ca1a017b8b9bf2184ef
Publikováno v:
Quantum, Vol 5, p 531 (2021)
A key problem in the field of quantum computing is understanding whether quantum machine learning (QML) models implemented on noisy intermediate-scale quantum (NISQ) machines can achieve quantum advantages. Recently, Huang et al. [Nat Commun 12, 2631
Externí odkaz:
https://doaj.org/article/0ed8c449b6874cb391b43f1882178d6b
Autor:
Jun Hyuk Chang, Dongju Jung, Hak June Lee, Doyoon Shin, Youngdu Kim, Donghyo Hahm, Xinbiao Wang, Doh C. Lee, Euyheon Hwang, Young-Shin Park, Wan Ki Bae
Publikováno v:
The Journal of Physical Chemistry Letters. 13:11464-11472
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b6234e3d1d8d364ce1430331834ead6e
https://doi.org/10.1021/acs.jpclett.2c03050
https://doi.org/10.1021/acs.jpclett.2c03050
Publikováno v:
IEEE transactions on neural networks and learning systems.
The core of quantum machine learning is to devise quantum models with good trainability and low generalization error bound than their classical counterparts to ensure better reliability and interpretability. Recent studies confirmed that quantum neur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a780865354b07c57d67157476f8c01ca
https://pubmed.ncbi.nlm.nih.gov/36191113
https://pubmed.ncbi.nlm.nih.gov/36191113
Publikováno v:
Materials Science and Engineering: A. 852:143709
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fed2c80a633c80d532071373dd74a677
https://doi.org/10.1016/j.msea.2022.143709
https://doi.org/10.1016/j.msea.2022.143709
Publikováno v:
Quantum, Vol 5, p 531 (2021)
A key problem in the field of quantum computing is understanding whether quantum machine learning (QML) models implemented on noisy intermediate-scale quantum (NISQ) machines can achieve quantum advantages. Recently, Huang et al. [Nat Commun 12, 2631
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e47c8aaa81a59a95e912c87502b0fba6
http://arxiv.org/abs/2103.16774
http://arxiv.org/abs/2103.16774
Publikováno v:
Pest Management Science. 63:301-305
The ethanolic extracts from 30 plant species were tested for their nematicidal activity against nematodes Bursaphelenchus xylophilus (Steiner & Buhrer) Nickle and Panagrellus redivivus (L.) Goodey. The leaf extract of Magnolia grandiflora L. exhibite
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7761fb2c5b83b9ed78979ca076a3cff1
https://doi.org/10.1002/ps.1337
https://doi.org/10.1002/ps.1337
Publikováno v:
2010 IEEE International Geoscience & Remote Sensing Symposium (IGARSS) (9781457710032); 2011, p2229-2232, 4p