Lei Wang

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	すべて	2020 年以来
引用	7607	5339
h 指標	42	34
i10 指標	71	60

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70 件の論文

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共著者

Matthias TroyerMicrosoft Quantum確認したメールアドレス: microsoft.com
Jin-Guo LiuHong Kong University of Science and Technology (GuangZhou)確認したメールアドレス: hkust-gz.edu.cn
Pan ZhangInstitute of Theoretical Physics, Chinese Academy of Sciences確認したメールアドレス: itp.ac.cn
Xi DaiHong Kong University of Science and Technology確認したメールアドレス: ust.hk
Tao XiangInstitute of Physics, Chinese Academy of Sciences確認したメールアドレス: iphy.ac.cn
Song ChengYanqi Lake Beijing Institute of Mathematical Sciences and Applications確認したメールアドレス: bimsa.cn
Hong-Hao Tu (涂鸿浩)Ludwig-Maximilians-Universität München確認したメールアドレス: lmu.de
Fan, Heng (范桁)Institute of Physics, Chinese Academy of Sciences確認したメールアドレス: aphy.iphy.ac.cn
Hsiang-Hsuan HungDepartment of Physics, University of Texas at Austin確認したメールアドレス: physics.utexas.edu
Hai-Jun LiaoInstitute of Physics, Chinese Academy of Sciences確認したメールアドレス: iphy.ac.cn
Ye-Hua LiuPsiQuantum確認したメールアドレス: psiquantum.com
Shuo-Hui LiHong Kong University of Science and Technology確認したメールアドレス: ust.hk
Linfeng ZhangDP Technology; AI for Science Institute確認したメールアドレス: dp.tech
Jiang HuaInterdisciplinary Center for Theoretical Physics and Information Sciences , Fudan University確認したメールアドレス: fudan.edu.cn
Wei Tang (唐维)Ghent University確認したメールアドレス: ugent.be
Zi CaiDepartment of physics and astronomy, Shanghai Jiaotong University確認したメールアドレス: physics.ucsd.edu
Jing ChenSr. Quantum Scientist, Zapata Computing Inc.確認したメールアドレス: zapatacomputing.com
Zhaoyu HanHarvard University確認したメールアドレス: fas.harvard.edu
Jun WangResearch Assistant in Applied Physics, Stanford University確認したメールアドレス: stanford.edu
Shuta NakajimaQIQB, Osaka University確認したメールアドレス: osaka-u.ac.jp

フォロー

Lei Wang

Institute of Physics, Chinese Academy of Sciences

確認したメールアドレス: iphy.ac.cn - ホームページ

computational physics condensed matter physics deep learning


タイトル引用回数順公開年順タイトル順	引用先引用先	年
Discovering phase transitions with unsupervised learning L Wang Physical Review B 94 (19), 195105, 2016	735	2016
Topological Thouless pumping of ultracold fermions S Nakajima, T Tomita, S Taie, T Ichinose, H Ozawa, L Wang, M Troyer, ... Nature Physics 12 (4), 296-300, 2016	693	2016
Accelerated Monte Carlo simulations with restricted Boltzmann machines L Huang, L Wang Physical Review B 95 (3), 035105, 2017	452	2017
Unsupervised generative modeling using matrix product states ZY Han, J Wang, H Fan, L Wang, P Zhang Physical Review X 8 (3), 031012, 2018	369	2018
Differentiable learning of quantum circuit Born machines JG Liu, L Wang Physical Review A 98 (6), 062324, 2018	347	2018
Equivalence of restricted Boltzmann machines and tensor network states J Chen, S Cheng, H Xie, L Wang, T Xiang Physical Review B 97 (8), 085104, 2018	319	2018
Numerical study of the topological Anderson insulator in HgTe/CdTe quantum wells H Jiang, L Wang, Q Sun, XC Xie Physical Review B 80 (16), 165316, 2009	284	2009
Differentiable programming tensor networks HJ Liao, JG Liu, L Wang, T Xiang Physical Review X 9 (3), 031041, 2019	279	2019
Solving Statistical Mechanics using Variational Autoregressive Networks D Wu, L Wang, P Zhang Physical Review Letters 122 (8), 080602, 2019	248	2019
Tree tensor networks for generative modeling S Cheng, L Wang, T Xiang, P Zhang Physical Review B 99 (15), 155131, 2019	240	2019
Topological charge pumping in a one-dimensional optical lattice L Wang, M Troyer, X Dai Physical review letters 111 (2), 026802, 2013	214	2013
Yao. jl: Extensible, efficient framework for quantum algorithm design XZ Luo, JG Liu, P Zhang, L Wang Quantum 4, 341, 2020	198	2020
Variational quantum eigensolver with fewer qubits JG Liu, YH Zhang, Y Wan, L Wang Physical Review Research 1 (2), 023025, 2019	197	2019
Neural network renormalization group SH Li, L Wang Physical review letters 121 (26), 260601, 2018	176	2018
Local density approximation combined with Gutzwiller method for correlated electron systems: Formalism and applications XY Deng, L Wang, X Dai, Z Fang Physical Review B 79 (7), 075114, 2009	170	2009
Fermionic quantum critical point of spinless fermions on a honeycomb lattice L Wang, P Corboz, M Troyer New Journal of Physics 16 (10), 103008, 2014	149	2014
Information perspective to probabilistic modeling: Boltzmann machines versus born machines S Cheng, J Chen, L Wang Entropy 20 (8), 583, 2018	132	2018
Learning and inference on generative adversarial quantum circuits J Zeng, Y Wu, JG Liu, L Wang, J Hu Physical Review A 99 (5), 052306, 2019	113	2019
Fidelity susceptibility made simple: A unified quantum Monte Carlo approach L Wang, YH Liu, J Imriška, PN Ma, M Troyer Physical Review X 5 (3), 031007, 2015	112	2015
Artificial Neural Network Approach to the Analytic Continuation Problem R Fournier, L Wang, OV Yazyev, QS Wu Physical Review Letters 124 (5), 056401, 2020	108	2020

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