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pro vyhledávání: '"Yung, Manhong"'
Autor:
Zhang, Jialiang, Wang, Pengfei, Chen, Wentao, Cai, Zhengyang, Qiao, Mu, Li, Riling, Huang, Yingye, Tian, Haonan, Tu, Henchao, Cui, Kaifeng, Yan, Leilei, Zhang, Junhua, Zhang, Jingning, Yung, Manhong, Kim, Kihwan
Information engines produce mechanical work through measurement and adaptive control. For information engines, the principal challenge lies in how to store the generated work for subsequent utilization. Here, we report an experimental demonstration w
Externí odkaz:
http://arxiv.org/abs/2408.14373
Autor:
Tang, Jialiang, Xu, Ruoqian, Ding, Yongcheng, Xu, Xusheng, Ban, Yue, Yung, Manhong, Pérez-Obiol, Axel, Platero, Gloria, Chen, Xi
Exploring the ground state properties of many-body quantum systems conventionally involves adiabatic processes, alongside exact diagonalization, in the context of quantum annealing or adiabatic quantum computation. Shortcuts to adiabaticity by counte
Externí odkaz:
http://arxiv.org/abs/2405.09225
Autor:
Xu, Ruoqian, Tang, Jialiang, Chandarana, Pranav, Paul, Koushik, Xu, Xusheng, Yung, Manhong, Chen, Xi
Publikováno v:
Phys. Rev. Research 6, 013147 (2024)
Hybrid digitized-counterdiabatic quantum computing (DCQC) is a promising approach for leveraging the capabilities of near-term quantum computers, utilizing parameterized quantum circuits designed with counterdiabatic protocols. However, the classical
Externí odkaz:
http://arxiv.org/abs/2401.09849
Autor:
Xiong, Zhaoping, Cui, Xiaopeng, Lin, Xinyuan, Ren, Feixiao, Liu, Bowen, Li, Yunting, Yung, Manhong, Qiao, Nan
Optimizing the properties of molecules (materials or drugs) for stronger toughness, lower toxicity, or better bioavailability has been a long-standing challenge. In this context, we propose a molecular optimization framework called Q-Drug (Quantum-in
Externí odkaz:
http://arxiv.org/abs/2308.13171
The Trotter-Suzuki decomposition is one of the main approaches for realization of quantum simulations on digital quantum computers. Variance-based global sensitivity analysis (the Sobol method) is a wide used method which allows to decompose output v
Externí odkaz:
http://arxiv.org/abs/2101.03349
In classical machine learning, a set of weak classifiers can be adaptively combined to form a strong classifier for improving the overall performance, a technique called adaptive boosting (or AdaBoost). However, constructing the strong classifier for
Externí odkaz:
http://arxiv.org/abs/1902.00869
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