Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Lyu, Chufan"'
Autor:
Xu, Xusheng, Cui, Jiangyu, Cui, Zidong, He, Runhong, Li, Qingyu, Li, Xiaowei, Lin, Yanling, Liu, Jiale, Liu, Wuxin, Lu, Jiale, Luo, Maolin, Lyu, Chufan, Pan, Shijie, Pavel, Mosharev, Shu, Runqiu, Tang, Jialiang, Xu, Ruoqian, Xu, Shu, Yang, Kang, Yu, Fan, Zeng, Qingguo, Zhao, Haiying, Zheng, Qiang, Zhou, Junyuan, Zhou, Xu, Zhu, Yikang, Zou, Zuoheng, Bayat, Abolfazl, Cao, Xi, Cui, Wei, Li, Zhendong, Long, Guilu, Su, Zhaofeng, Wang, Xiaoting, Wang, Zizhu, Wei, Shijie, Wu, Re-Bing, Zhang, Pan, Yung, Man-Hong
We introduce MindSpore Quantum, a pioneering hybrid quantum-classical framework with a primary focus on the design and implementation of noisy intermediate-scale quantum (NISQ) algorithms. Leveraging the robust support of MindSpore, an advanced open-
Externí odkaz:
http://arxiv.org/abs/2406.17248
Current quantum simulators are primarily qubit-based, making them naturally suitable for simulating 2-level quantum systems. However, many systems in nature are inherently $d$-level, including higher spins, bosons, vibrational modes, and itinerant el
Externí odkaz:
http://arxiv.org/abs/2405.05051
Autor:
Han, Zhikun, Lyu, Chufan, Zhou, Yuxuan, Yuan, Jiahao, Chu, Ji, Nuerbolati, Wuerkaixi, Jia, Hao, Nie, Lifu, Wei, Weiwei, Yang, Zusheng, Zhang, Libo, Zhang, Ziyan, Hu, Chang-Kang, Hu, Ling, Li, Jian, Tan, Dian, Bayat, Abolfazl, Liu, Song, Yan, Fei, Yu, Dapeng
Publikováno v:
Phys. Rev. Research 6, 013015 (2024)
Energy spectroscopy is a powerful tool with diverse applications across various disciplines. The advent of programmable digital quantum simulators opens new possibilities for conducting spectroscopy on various models using a single device. Variationa
Externí odkaz:
http://arxiv.org/abs/2306.02110
Current quantum simulators suffer from multiple limitations such as short coherence time, noisy operations, faulty readout and restricted qubit connectivity in some platforms. Variational quantum algorithms are the most promising approach in near-ter
Externí odkaz:
http://arxiv.org/abs/2203.14281
Publikováno v:
Quantum 7, 899 (2023)
The variational quantum-classical algorithms are the most promising approach for achieving quantum advantage on near-term quantum simulators. Among these methods, the variational quantum eigensolver has attracted a lot of attention in recent years. W
Externí odkaz:
http://arxiv.org/abs/2203.02444
Publikováno v:
Quantum 4, 324 (2020)
One of the key applications for the emerging quantum simulators is to emulate the ground state of many-body systems, as it is of great interest in various fields from condensed matter physics to material science. Traditionally, in an analog sense, ad
Externí odkaz:
http://arxiv.org/abs/2006.09415
Domain adaptation, a crucial sub-field of transfer learning, aims to utilize known knowledge of one data set to accomplish tasks on another data set. In this paper, we perform one of the most representative domain adaptation algorithms, transfer comp
Externí odkaz:
http://arxiv.org/abs/1912.09113
Reducing the dimension of nonlinear data is crucial in data processing and visualization. The locally linear embedding algorithm (LLE) is specifically a representative nonlinear dimensionality reduction method with well maintaining the original manif
Externí odkaz:
http://arxiv.org/abs/1910.07854
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Akademický článek
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