Zobrazeno 1 - 10
of 425
pro vyhledávání: '"Liu, Ai Qun"'
Autor:
Mok, Wai-Keong, Zhang, Hui, Haug, Tobias, Luo, Xianshu, Lo, Guo-Qiang, Cai, Hong, Kim, M. S., Liu, Ai Qun, Kwek, Leong-Chuan
Publikováno v:
AVS Quantum Sci. 6, 023803 (2024)
Reducing noise in quantum systems is a major challenge towards the application of quantum technologies. Here, we propose and demonstrate a scheme to reduce noise using a quantum autoencoder with rigorous performance guarantees. The quantum autoencode
Externí odkaz:
http://arxiv.org/abs/2308.16153
Autor:
Zhang, Hui, Wan, Lingxiao, Ramos-Calderer, Sergi, Zhan, Yuancheng, Mok, Wai-Keong, Cai, Hong, Gao, Feng, Luo, Xianshu, Lo, Guo-Qiang, Kwek, Leong Chuan, Latorre, José Ignacio, Liu, Ai Qun
Publikováno v:
Photonics Research 10.1364/PRJ.493865 (2023)
In the modern financial industry system, the structure of products has become more and more complex, and the bottleneck constraint of classical computing power has already restricted the development of the financial industry. Here, we present a photo
Externí odkaz:
http://arxiv.org/abs/2308.04493
Autor:
Shen, Yuan, Mok, Wai-Keong, Noh, Changsuk, Liu, Ai Qun, Kwek, Leong-Chuan, Fan, Weijun, Chia, Andy
Publikováno v:
Phys. Rev. A, 107.053713, (2023)
A paradigm for quantum synchronization is the quantum analog of the Stuart--Landau oscillator, which corresponds to a van der Pol oscillator in the limit of weak (i.e. vanishingly small) nonlinearity. Due to this limitation, the quantum Stuart--Landa
Externí odkaz:
http://arxiv.org/abs/2301.02948
Autor:
Shi, Yuzhi, Song, Qinghua, Toftul, Ivan, Zhu, Tongtong, Yu, Yefeng, Zhu, Weiming, Tsai, Din Ping, Kivshar, Yuri, Liu, Ai Qun
Optical tweezers employing forces produced by light underpin important manipulation tools in many areas of applied and biological physics. Conventional optical tweezers are based on refractive optics, and they require excessive auxiliary optical elem
Externí odkaz:
http://arxiv.org/abs/2204.02750
Autor:
Zhang, Hui, Lau, Jonathan Wei Zhong, Wan, Lingxiao, Shi, Liang, Cai, Hong, Luo, Xianshu, Lo, Patrick, Lee, Chee-Kong, Kwek, Leong-Chuan, Liu, Ai Qun
Machine learning methods have revolutionized the discovery process of new molecules and materials. However, the intensive training process of neural networks for molecules with ever-increasing complexity has resulted in exponential growth in computat
Externí odkaz:
http://arxiv.org/abs/2203.02285
Autor:
Hu, Yuan-Ling, Peng, Cui-Lin, Huang, Ye-Qing, Diao, Sheng-Peng, Liu, Ai-Qun, Peng, Zhong-Xing, Hong, Ming-Fan, Zhou, Zhi-Hua
Publikováno v:
In Journal of Stroke and Cerebrovascular Diseases October 2024 33(10)
Autor:
Shen, Yuan, Marchegiani, Giampiero, Catelani, Gianluigi, Amico, Luigi, Liu, Ai Qun, Fan, Weijun, Kwek, Leong-Chuan
Publikováno v:
SciPost Phys. 11, 099 (2021)
We study a Rabi type Hamiltonian system in which a qubit and a d-level quantum system (qudit) are coupled through a common resonator. In the weak and strong coupling limits the spectrum is analysed through suitable perturbative schemes. The analysis
Externí odkaz:
http://arxiv.org/abs/2104.12341
Context is essential for semantic segmentation. Due to the diverse shapes of objects and their complex layout in various scene images, the spatial scales and shapes of contexts for different objects have very large variation. It is thus ineffective o
Externí odkaz:
http://arxiv.org/abs/1909.02651