Zobrazeno 1 - 10
of 1 350
pro vyhledávání: '"Huang, Wenhui"'
Autor:
Tao, Ziyu, Schmolke, Finn, Hu, Chang-Kang, Huang, Wenhui, Zhou, Yuxuan, Zhang, Jiawei, Chu, Ji, Zhang, Libo, Sun, Xuandong, Guo, Zecheng, Niu, Jingjing, Weng, Wenle, Liu, Song, Zhong, Youpeng, Tan, Dian, Yu, Dapeng, Lutz, Eric
Random fluctuations can lead to cooperative effects in complex systems. We here report the experimental observation of noise-induced quantum synchronization in a chain of superconducting transmon qubits with nearest-neighbor interactions. The applica
Externí odkaz:
http://arxiv.org/abs/2406.10457
Coupler-Assisted Leakage Reduction for Scalable Quantum Error Correction with Superconducting Qubits
Autor:
Yang, Xiaohan, Chu, Ji, Guo, Zechen, Huang, Wenhui, Liang, Yongqi, Liu, Jiawei, Qiu, Jiawei, Sun, Xuandong, Tao, Ziyu, Zhang, Jiawei, Zhang, Jiajian, Zhang, Libo, Zhou, Yuxuan, Guo, Weijie, Hu, Ling, Jiang, Ji, Liu, Yang, Linpeng, Xiayu, Chen, Tingyong, Chen, Yuanzhen, Niu, Jingjing, Liu, Song, Zhong, Youpeng, Yu, Dapeng
Superconducting qubits are a promising platform for building fault-tolerant quantum computers, with recent achievement showing the suppression of logical error with increasing code size. However, leakage into non-computational states, a common issue
Externí odkaz:
http://arxiv.org/abs/2403.16155
Autonomous driving systems require the ability to fully understand and predict the surrounding environment to make informed decisions in complex scenarios. Recent advancements in learning-based systems have highlighted the importance of integrating p
Externí odkaz:
http://arxiv.org/abs/2402.02426
Autor:
Xu, Ruizhuo, Wang, Ke, Deng, Chao, Wang, Mei, Chen, Xi, Huang, Wenhui, Feng, Junlan, Deng, Weihong
With the increasing availability of consumer depth sensors, 3D face recognition (FR) has attracted more and more attention. However, the data acquired by these sensors are often coarse and noisy, making them impractical to use directly. In this paper
Externí odkaz:
http://arxiv.org/abs/2401.00719
Superconducting qubits have emerged as a premier platform for large-scale quantum computation, yet the fidelity of state readout is often hindered by random noise and crosstalk, especially in multi-qubit systems. While neural networks trained on labe
Externí odkaz:
http://arxiv.org/abs/2312.07958
Autor:
Tao, Ziyu, Huang, Wenhui, Niu, Jingjing, Zhang, Libo, Ke, Yongguan, Gu, Xiu, Lin, Ling, Qiu, Jiawei, Sun, Xuandong, Yang, Xiaohan, Zhang, Jiajian, Zhang, Jiawei, Zhao, Shuxiang, Zhou, Yuxuan, Deng, Xiaowei, Hu, Changkang, Hu, Ling, Li, Jian, Liu, Yang, Tan, Dian, Xu, Yuan, Yan, Tongxing, Chen, Yuanzhen, Lee, Chaohong, Zhong, Youpeng, Liu, Song, Yu, Dapeng
As the basis for generating multi-particle quantum correlations, inter-particle interaction plays a crucial role in collective quantum phenomena, quantum phase transitions, and quantum information processing. It can profoundly alter the band structur
Externí odkaz:
http://arxiv.org/abs/2303.04582
Autor:
Qiu, Jiawei, Liu, Yang, Niu, Jingjing, Hu, Ling, Wu, Yukai, Zhang, Libo, Huang, Wenhui, Chen, Yuanzhen, Li, Jian, Liu, Song, Zhong, Youpeng, Duan, Luming, Yu, Dapeng
Quantum teleportation~\cite{Bennett1993} is of both fundamental interest and great practical importance in quantum information science. To date, quantum teleportation has been implemented in various physical systems~\cite{Pirandola2015}, among which
Externí odkaz:
http://arxiv.org/abs/2302.08756
Predicting the behaviors of other road users is crucial to safe and intelligent decision-making for autonomous vehicles (AVs). However, most motion prediction models ignore the influence of the AV's actions and the planning module has to treat other
Externí odkaz:
http://arxiv.org/abs/2302.03939
Autor:
Niu, Jingjing, Zhang, Libo, Liu, Yang, Qiu, Jiawei, Huang, Wenhui, Huang, Jiaxiang, Jia, Hao, Liu, Jiawei, Tao, Ziyu, Wei, Weiwei, Zhou, Yuxuan, Zou, Wanjing, Chen, Yuanzhen, Deng, Xiaowei, Deng, Xiuhao, Hu, Changkang, Hu, Ling, Li, Jian, Tan, Dian, Xu, Yuan, Yan, Fei, Yan, Tongxing, Liu, Song, Zhong, Youpeng, Cleland, Andrew N., Yu, Dapeng
Publikováno v:
Nature Electronics (2023)
Scaling is now a key challenge in superconducting quantum computing. One solution is to build modular systems in which smaller-scale quantum modules are individually constructed and calibrated, and then assembled into a larger architecture. This, how
Externí odkaz:
http://arxiv.org/abs/2302.02751
Despite some successful applications of goal-driven navigation, existing deep reinforcement learning (DRL)-based approaches notoriously suffers from poor data efficiency issue. One of the reasons is that the goal information is decoupled from the per
Externí odkaz:
http://arxiv.org/abs/2301.00362