Zobrazeno 1 - 10
of 38 290
pro vyhledávání: '"Xiao, Wei"'
Autor:
Wang, Qin-Qin, Dong, Shaojun, Li, Xiao-Wei, Xu, Xiao-Ye, Wang, Chao, Han, Shuai, Yung, Man-Hong, Han, Yong-Jian, Li, Chuan-Feng, Guo, Guang-Can
Publikováno v:
Sci. Adv. 10, eadl4871 (2024)
Noise-enhanced applications in open quantum walk (QW) have recently seen a surge due to their ability to improve performance. However, verifying the success of open QW is challenging, as mixed-state tomography is a resource-intensive process, and imp
Externí odkaz:
http://arxiv.org/abs/2411.03640
Autor:
Liu, Siyi, Ning, Qiang, Halder, Kishaloy, Xiao, Wei, Qi, Zheng, Htut, Phu Mon, Zhang, Yi, John, Neha Anna, Min, Bonan, Benajiba, Yassine, Roth, Dan
Open domain question answering systems frequently rely on information retrieved from large collections of text (such as the Web) to answer questions. However, such collections of text often contain conflicting information, and indiscriminately depend
Externí odkaz:
http://arxiv.org/abs/2410.12311
Dissipation is usually considered a negative factor for observing quantum effects and for harnessing them for quantum technologies. Here we propose a scheme for speeding up the generation of quantum entanglement between two coupled qubits by introduc
Externí odkaz:
http://arxiv.org/abs/2410.03084
The Schwinger model serves as a benchmark for testing non-perturbative algorithms in quantum chromodynamics (QCD), emphasizing its similarities to QCD in strong coupling regimes, primarily due to the phenomena such as confinement and charge screening
Externí odkaz:
http://arxiv.org/abs/2409.13510
Autor:
Makiyeh, Fouad, Bastourous, Mark, Bairouk, Anass, Xiao, Wei, Maras, Mirjana, Wangb, Tsun-Hsuan, Blanchon, Marc, Hasani, Ramin, Chareyre, Patrick, Rus, Daniela
Autonomous vehicle navigation is a key challenge in artificial intelligence, requiring robust and accurate decision-making processes. This research introduces a new end-to-end method that exploits multimodal information from a single monocular camera
Externí odkaz:
http://arxiv.org/abs/2409.12716
Autor:
Nguyen, Huy-Dung, Bairouk, Anass, Maras, Mirjana, Xiao, Wei, Wang, Tsun-Hsuan, Chareyre, Patrick, Hasani, Ramin, Blanchon, Marc, Rus, Daniela
Autonomous driving holds great potential to transform road safety and traffic efficiency by minimizing human error and reducing congestion. A key challenge in realizing this potential is the accurate estimation of steering angles, which is essential
Externí odkaz:
http://arxiv.org/abs/2409.10095
Recently, movable antennas (MAs) have garnered immense attention due to their capability to favorably alter channel conditions through agile movement. In this letter, we delve into a spectrum sharing system enabled by unmanned aerial vehicle (UAV) mo
Externí odkaz:
http://arxiv.org/abs/2409.02469
This paper addresses the problem of guiding a quadrotor through a predefined sequence of waypoints in cluttered environments, aiming to minimize the flight time while avoiding collisions. Previous approaches either suffer from prolonged computational
Externí odkaz:
http://arxiv.org/abs/2406.19646
The North-South asymmetry in the number density and bulk velocity of stars in the solar neighborhood provides valuable insights into the formation and evolution of the Milky Way disk. Our objective is to investigate the wave-like disk oscillations of
Externí odkaz:
http://arxiv.org/abs/2406.17686
Safe learning is central to AI-enabled robots where a single failure may lead to catastrophic results. Barrier-based method is one of the dominant approaches for safe robot learning. However, this method is not scalable, hard to train, and tends to g
Externí odkaz:
http://arxiv.org/abs/2406.13025