Zobrazeno 1 - 10
of 59 084
pro vyhledávání: '"Guo, S"'
Autor:
Guo, S. -A., Wu, Y. -K., Ye, J., Zhang, L., Wang, Y., Lian, W. -Q., Yao, R., Xu, Y. -L., Zhang, C., Xu, Y. -Z., Qi, B. -X., Hou, P. -Y., He, L., Zhou, Z. -C., Duan, L. -M.
Quantum simulators with hundreds of qubits and engineerable Hamiltonians have the potential to explore quantum many-body models that are intractable for classical computers. However, learning the simulated Hamiltonian, a prerequisite for any applicat
Externí odkaz:
http://arxiv.org/abs/2408.03801
Autor:
Hou, Y. -H., Yi, Y. -J., Wu, Y. -K., Chen, Y. -Y., Zhang, L., Wang, Y., Xu, Y. -L., Zhang, C., Mei, Q. -X., Yang, H. -X., Ma, J. -Y., Guo, S. -A., Ye, J., Qi, B. -X., Zhou, Z. -C., Hou, P. -Y., Duan, L. -M.
Two-dimensional (2D) ion crystals have become a promising way to scale up qubit numbers for ion trap quantum information processing. However, to realize universal quantum computing in this system, individually addressed high-fidelity two-qubit entang
Externí odkaz:
http://arxiv.org/abs/2406.13999
Autor:
Guo, S., An, T., Liu, Y., Sotnikova, Y., Volvach, A., Mufakharov, T., Chen, L., Cui, L., Wang, A., Xu, Z., Zhang, Y., Xu, W., Kovalev, Y. A., Kovalev, Y. Y., Kharinov, M., Erkenov, A., Semenova, T., Volvach, L.
Publikováno v:
A&A 685, L11 (2024)
Context : Understanding the mechanisms that launch and shape powerful relativistic jets from supermassive black holes (SMBHs) in high-redshift active galactic nuclei (AGN) is crucial for probing the co-evolution of SMBHs and galaxies over cosmic time
Externí odkaz:
http://arxiv.org/abs/2404.16343
We propose a scheme leveraging reinforcement learning to engineer control fields for generating non-classical states. It is exemplified by the application to prepare spin-squeezed states for an open collective spin model where a linear control field
Externí odkaz:
http://arxiv.org/abs/2401.16320
Autor:
Guo, S. -A., Wu, Y. -K., Ye, J., Zhang, L., Lian, W. -Q., Yao, R., Wang, Y., Yan, R. -Y., Yi, Y. -J., Xu, Y. -L., Li, B. -W., Hou, Y. -H., Xu, Y. -Z., Guo, W. -X., Zhang, C., Qi, B. -X., Zhou, Z. -C., He, L., Duan, L. -M.
A large qubit capacity and an individual readout capability are two crucial requirements for large-scale quantum computing and simulation. As one of the leading physical platforms for quantum information processing, the ion trap has achieved quantum
Externí odkaz:
http://arxiv.org/abs/2311.17163
Publikováno v:
Journal of Multidisciplinary Healthcare, Vol Volume 17, Pp 3577-3588 (2024)
Ruxian Wei,* Huimei Lv,* Gaiying Jiang, Xueqing Wang, Nan Zhang, Songjia Guo Nephrology Department, Shanxi Provincial People’s Hospital, Taiyuan, 030001, People’s Republic of China*These authors contributed equally to this workCorresp
Externí odkaz:
https://doaj.org/article/9ec68889346346c2a6afed5ef7550e06
Publikováno v:
International Journal of Nanomedicine, Vol Volume 19, Pp 7367-7381 (2024)
Tiantian Guo,1 Yao Wang,1 Dixuan Chen,2 Sifan Cui,2 Shuyue Guo,1 Yixing Feng,1 Jialin Zhu,1 Luchen Chang,1 Jiawei Zhang,2 Xiujun Gao,2 Xi Wei1 1Department of Diagnostic and Therapeutic Ultrasonography, Tianjin Medical University Cancer Institute and
Externí odkaz:
https://doaj.org/article/f3670ccaee954941b86fa05af841cd59
Publikováno v:
Clinical Interventions in Aging, Vol Volume 19, Pp 1163-1176 (2024)
Xiamin Pu,1 Houqiang Huang,2 Xiaolei Zhao,3 Feng Liu,1 Yebo Leng,4 Ya Deng,5 Lingyi Huang,5 Xingchen Zhou,5 Fen Xu,1 Yongli Huang,6 Shengmin Guo2 1Department of Cardiovascular Medicine, The Affiliated Hospital, Southwest Medical University, Luzhou, 6
Externí odkaz:
https://doaj.org/article/e12a0c5bc0c642fc9cf152626e3a81a8
Publikováno v:
Patient Preference and Adherence, Vol Volume 18, Pp 1131-1140 (2024)
Xiaoxing Wei,1,2,* Shengteng Guo,1,* Qinghua Wang1 1School of Nursing (School of Gerontology), Binzhou Medical University, Binzhou, Shandong, People’s Republic of China; 2Intensive Care Unit, Binzhou Medical University Hospital, Binzhou, Sh
Externí odkaz:
https://doaj.org/article/f3589616790b487aa51941d10a1fc473
Autor:
Rios-Navarro, A., Guo, S., Abarajithan, G, Vijayakumar, K., Linares-Barranco, A., Aarrestad, T., Kastner, R., Delbruck, T.
In-camera event denoising reduces the data rate of event cameras by filtering out noise at the source. A lightweight multilayer perceptron denoising filter (MLPF) provides state-of-the-art low-cost denoising accuracy. It processes a small neighborhoo
Externí odkaz:
http://arxiv.org/abs/2304.07543