Zobrazeno 1 - 10
of 892
pro vyhledávání: '"Gao Xun"'
Publikováno v:
Reviews in Analytical Chemistry, Vol 41, Iss 1, Pp 10-20 (2021)
This study was designed to determine the 11 metal elements (Al, Cr, Mn, Fe, As, Ni, Cu, Zn, Cd, Sb, and Pb) in soy sauce and their migration from the containing glass bottles. Inductively coupled plasma mass spectrometry (ICP-MS) was applied for the
Externí odkaz:
https://doaj.org/article/1bbe0c13b5ce488baca878b714b3d3c3
Autor:
Hu, Fangjun, Gao, Xun
Tackling output sampling noise due to finite shots of quantum measurement is an unavoidable challenge when extracting information in machine learning with physical systems. A technique called Eigentask Learning was developed recently as a framework f
Externí odkaz:
http://arxiv.org/abs/2410.14654
Publikováno v:
Reviews in Analytical Chemistry, Vol 40, Iss 1, Pp 161-172 (2021)
To determine the trace amount of four benzoic acid esters in cosmetics, ionic dispersive liquid–liquid microextraction (DLLME) and magnetic solid-phase extraction were combined and optimized. After solvent optimization, 1-octyl-3-methylimidazolium
Externí odkaz:
https://doaj.org/article/87da9f972f334c29ba13a8f4d2d51727
We provide a polynomial-time classical algorithm for noisy quantum circuits. The algorithm computes the expectation value of any observable for any circuit, with a small average error over input states drawn from an ensemble (e.g. the computational b
Externí odkaz:
http://arxiv.org/abs/2407.12768
Autor:
Kornjača, Milan, Hu, Hong-Ye, Zhao, Chen, Wurtz, Jonathan, Weinberg, Phillip, Hamdan, Majd, Zhdanov, Andrii, Cantu, Sergio H., Zhou, Hengyun, Bravo, Rodrigo Araiza, Bagnall, Kevin, Basham, James I., Campo, Joseph, Choukri, Adam, DeAngelo, Robert, Frederick, Paige, Haines, David, Hammett, Julian, Hsu, Ning, Hu, Ming-Guang, Huber, Florian, Jepsen, Paul Niklas, Jia, Ningyuan, Karolyshyn, Thomas, Kwon, Minho, Long, John, Lopatin, Jonathan, Lukin, Alexander, Macrì, Tommaso, Marković, Ognjen, Martínez-Martínez, Luis A., Meng, Xianmei, Ostroumov, Evgeny, Paquette, David, Robinson, John, Rodriguez, Pedro Sales, Singh, Anshuman, Sinha, Nandan, Thoreen, Henry, Wan, Noel, Waxman-Lenz, Daniel, Wong, Tak, Wu, Kai-Hsin, Lopes, Pedro L. S., Boger, Yuval, Gemelke, Nathan, Kitagawa, Takuya, Keesling, Alexander, Gao, Xun, Bylinskii, Alexei, Yelin, Susanne F., Liu, Fangli, Wang, Sheng-Tao
Quantum machine learning has gained considerable attention as quantum technology advances, presenting a promising approach for efficiently learning complex data patterns. Despite this promise, most contemporary quantum methods require significant res
Externí odkaz:
http://arxiv.org/abs/2407.02553
Autor:
Wang, Fei, Lu, Kannan, Zhan, Huijuan, Ma, Lu, Wu, Feng, Sun, Hantao, Deng, Hao, Bai, Yang, Bao, Feng, Chang, Xu, Gao, Ran, Gao, Xun, Gong, Guicheng, Hu, Lijuan, Hu, Ruizi, Ji, Honghong, Ma, Xizheng, Mao, Liyong, Song, Zhijun, Tang, Chengchun, Wang, Hongcheng, Wang, Tenghui, Wang, Ziang, Xia, Tian, Xu, Hongxin, Zhan, Ze, Zhang, Gengyan, Zhou, Tao, Zhu, Mengyu, Zhu, Qingbin, Zhu, Shasha, Zhu, Xing, Shi, Yaoyun, Zhao, Hui-Hai, Deng, Chunqing
Fluxonium qubits are recognized for their high coherence times and high operation fidelities, attributed to their unique design incorporating over 100 Josephson junctions per superconducting loop. However, this complexity poses significant fabricatio
Externí odkaz:
http://arxiv.org/abs/2405.05481
Autor:
Hangleiter, Dominik, Kalinowski, Marcin, Bluvstein, Dolev, Cain, Madelyn, Maskara, Nishad, Gao, Xun, Kubica, Aleksander, Lukin, Mikhail D., Gullans, Michael J.
Realizing computationally complex quantum circuits in the presence of noise and imperfections is a challenging task. While fault-tolerant quantum computing provides a route to reducing noise, it requires a large overhead for generic algorithms. Here,
Externí odkaz:
http://arxiv.org/abs/2404.19005
Autor:
Anschuetz, Eric R., Gao, Xun
Recent theoretical results in quantum machine learning have demonstrated a general trade-off between the expressive power of quantum neural networks (QNNs) and their trainability; as a corollary of these results, practical exponential separations in
Externí odkaz:
http://arxiv.org/abs/2402.08606
Autor:
Bluvstein, Dolev, Evered, Simon J., Geim, Alexandra A., Li, Sophie H., Zhou, Hengyun, Manovitz, Tom, Ebadi, Sepehr, Cain, Madelyn, Kalinowski, Marcin, Hangleiter, Dominik, Ataides, J. Pablo Bonilla, Maskara, Nishad, Cong, Iris, Gao, Xun, Rodriguez, Pedro Sales, Karolyshyn, Thomas, Semeghini, Giulia, Gullans, Michael J., Greiner, Markus, Vuletic, Vladan, Lukin, Mikhail D.
Publikováno v:
Nature (2023)
Suppressing errors is the central challenge for useful quantum computing, requiring quantum error correction for large-scale processing. However, the overhead in the realization of error-corrected ``logical'' qubits, where information is encoded acro
Externí odkaz:
http://arxiv.org/abs/2312.03982
Autor:
Ma, Xizheng, Zhang, Gengyan, Wu, Feng, Bao, Feng, Chang, Xu, Chen, Jianjun, Deng, Hao, Gao, Ran, Gao, Xun, Hu, Lijuan, Ji, Honghong, Ku, Hsiang-Sheng, Lu, Kannan, Ma, Lu, Mao, Liyong, Song, Zhijun, Sun, Hantao, Tang, Chengchun, Wang, Fei, Wang, Hongcheng, Wang, Tenghui, Xia, Tian, Ying, Make, Zhan, Huijuan, Zhou, Tao, Zhu, Mengyu, Zhu, Qingbin, Shi, Yaoyun, Zhao, Hui-Hai, Deng, Chunqing
The fluxonium qubits have emerged as a promising platform for gate-based quantum information processing. However, their extraordinary protection against charge fluctuations comes at a cost: when coupled capacitively, the qubit-qubit interactions are
Externí odkaz:
http://arxiv.org/abs/2308.16040