Lei Wang

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

Lei Wang

Institute of Physics, Chinese Academy of Sciences

Verified email at iphy.ac.cn - Homepage

computational physics condensed matter physics deep learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Discovering phase transitions with unsupervised learning L Wang Physical Review B 94 (19), 195105, 2016	738	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	456	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	371	2018
Differentiable learning of quantum circuit Born machines JG Liu, L Wang Physical Review A 98 (6), 062324, 2018	349	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	242	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	197	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	112	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	110	2020

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