Zobrazeno 1 - 10
of 13 957
pro vyhledávání: '"Chen, zhao"'
Autor:
Liu, Huan-Yu, Zhuang, Xi-Ning, Wang, Chao, Dou, Meng-Han, Chen, Zhao-Yun, Xue, Cheng, Wu, Yu-Chun, Guo, Guo-Ping
In recent years, quantum computation has been rapidly advancing, driving a technological revolution with significant potential across various sectors, particularly in finance. Despite this, the insurance industry, an essential tool for mitigating unf
Externí odkaz:
http://arxiv.org/abs/2410.20841
Autor:
Zhang, Jiaxuan, Chen, Zhao-Yun, Li, Jia-Ning, Wei, Tian-Hao, Liu, Huan-Yu, Zhuang, Xi-Ning, Li, Qing-Song, Wu, Yu-Chun, Guo, Guo-Ping
Large-scale quantum computation requires to be performed in the fault-tolerant manner. One crucial issue of fault-tolerant quantum computing (FTQC) is reducing the overhead of implementing logical gates. Recently proposed correlated decoding and ``al
Externí odkaz:
http://arxiv.org/abs/2410.16963
HiMA: Hierarchical Quantum Microarchitecture for Qubit-Scaling and Quantum Process-Level Parallelism
Autor:
Zhou, Qi, Mei, Zi-Hao, Shi, Han-Qing, Guo, Liang-Liang, Yang, Xiao-Yan, Wang, Yun-Jie, Xu, Xiao-Fan, Xue, Cheng, Kong, Wei-Cheng, Wang, Jun-Chao, Wu, Yu-Chun, Chen, Zhao-Yun, Guo, Guo-Ping
Quantum computing holds immense potential for addressing a myriad of intricate challenges, which is significantly amplified when scaled to thousands of qubits. However, a major challenge lies in developing an efficient and scalable quantum control sy
Externí odkaz:
http://arxiv.org/abs/2408.11311
Autor:
Fu, Yisong, Wang, Fei, Shao, Zezhi, Yu, Chengqing, Li, Yujie, Chen, Zhao, An, Zhulin, Xu, Yongjun
Recently, Transformers have gained traction in weather forecasting for their capability to capture long-term spatial-temporal correlations. However, their complex architectures result in large parameter counts and extended training times, limiting th
Externí odkaz:
http://arxiv.org/abs/2408.09695
Autor:
Chen, Zhao-Xian, Zhang, Yuan-hong, Sun, Xiao-Chen, Zhang, Ruo-Yang, Tang, Jiang-Shan, Yang, Xin, Zhu, Xue-Feng, Lu, Yan-Qing
Mathematically, topological invariants arise from the parallel transport of eigenstates on the energy bands, which, in physics, correspond to the adiabatic dynamical evolution of transient states. It determines the presence of boundary states, while
Externí odkaz:
http://arxiv.org/abs/2408.02984
Autor:
Zhang, Sheng, Duan, Peng, Wang, Yun-Jie, Wang, Tian-Le, Wang, Peng, Zhao, Ren-Ze, Yang, Xiao-Yan, Zhao, Ze-An, Guo, Liang-Liang, Chen, Yong, Zhang, Hai-Feng, Du, Lei, Tao, Hao-Ran, Li, Zhi-Fei, Wu, Yuan, Jia, Zhi-Long, Kong, Wei-Cheng, Chen, Zhao-Yun, Wu, Yu-Chun, Guo, Guo-Ping
In the NISQ era, achieving large-scale quantum computing demands compact circuits to mitigate decoherence and gate error accumulation. Quantum operations with diverse degrees of freedom hold promise for circuit compression, but conventional approache
Externí odkaz:
http://arxiv.org/abs/2407.06687
Autor:
Ye, Chuang-Chao, An, Ning-Bo, Ma, Teng-Yang, Dou, Meng-Han, Bai, Wen, Chen, Zhao-Yun, Guo, Guo-Ping
Great progress has been made in quantum computing in recent years, providing opportunities to overcome computation resource poverty in many scientific computations like computational fluid dynamics (CFD). In this work, efforts are made to exploit qua
Externí odkaz:
http://arxiv.org/abs/2406.16595
Autor:
Chen, Zhao-Yun, Ma, Teng-Yang, Ye, Chuang-Chao, Xu, Liang, Tan, Ming-Yang, Zhuang, Xi-Ning, Xu, Xiao-Fan, Wang, Yun-Jie, Sun, Tai-Ping, Chen, Yong, Du, Lei, Guo, Liang-Liang, Zhang, Hai-Feng, Tao, Hao-Ran, Wang, Tian-Le, Yang, Xiao-Yan, Zhao, Ze-An, Wang, Peng, Zhang, Sheng, Zhang, Chi, Zhao, Ren-Ze, Jia, Zhi-Long, Kong, Wei-Cheng, Dou, Meng-Han, Wang, Jun-Chao, Liu, Huan-Yu, Xue, Cheng, Zhang, Peng-Jun-Yi, Huang, Sheng-Hong, Duan, Peng, Wu, Yu-Chun, Guo, Guo-Ping
Quantum computational fluid dynamics (QCFD) offers a promising alternative to classical computational fluid dynamics (CFD) by leveraging quantum algorithms for higher efficiency. This paper introduces a comprehensive QCFD method, including an iterati
Externí odkaz:
http://arxiv.org/abs/2406.06063
Autor:
Zhuang, Xi-Ning, Chen, Zhao-Yun, Xue, Cheng, Xu, Xiao-Fan, Wang, Chao, Liu, Huan-Yu, Sun, Tai-Ping, Wang, Yun-Jie, Wu, Yu-Chun, Guo, Guo-Ping
Quantum machine learning has demonstrated significant potential in solving practical problems, particularly in statistics-focused areas such as data science and finance. However, challenges remain in preparing and learning statistical models on a qua
Externí odkaz:
http://arxiv.org/abs/2406.01335
Autor:
Liu, Huan-Yu, Lin, Xiaoshui, Chen, Zhao-Yun, Xue, Cheng, Sun, Tai-Ping, Li, Qing-Song, Zhuang, Xi-Ning, Wang, Yun-Jie, Wu, Yu-Chun, Gong, Ming, Guo, Guo-Ping
The rapid development of quantum computers has enabled demonstrations of quantum advantages on various tasks. However, real quantum systems are always dissipative due to their inevitable interaction with the environment, and the resulting non-unitary
Externí odkaz:
http://arxiv.org/abs/2405.20712