Full list of our publication can be found on Google Scholar and arXiv

2024

  1. “Lattice study of SU(2) gauge theory coupled to four adjoint Higgs fields”, Guilherme Catumba, Atsuki Hiraguchi, Wei-Shu Hou, Karl Jansen, Ying-Jer Kao, C.-J. David Lin, Alberto Ramos, Mugdha Sarkar, Phys. Rev. Research 6, 043172 (2024), arXiv:2407.15422.
  2. “Dynamical Quantum Phase Transition and Thermal Equilibrium in the Lattice Thirring Model”, Mari Carmen Bañuls, Krzysztof Cichy, Hao-Ti Hung, Ying-Jer Kao, C.-J. David Lin, Amit Singh, arXiv:2407.11295.
  3. “Direct Visualization of Disorder Driven Electronic Liquid Crystal Phases in Dirac Nodal Line Semimetal GdSbTe”, Balaji Venkatesan, Syu-You Guan, Jen-Te Chang, Shiang-Bin Chiu, Po-Yuan Yang, Chih-Chuan Su, Tay-Rong Chang, Kalaivanan Raju, Raman Sankar, Somboon Fongchaiya, Ming-Wen Chu, Chia-Seng Chang, Guoqing Chang, Hsin Lin, Adrian Del Maestro, Ying-Jer Kao, Tien-Ming Chuang, arXiv:2402.18893.
  4. “The Cytnx Library for Tensor Networks”, Kai-Hsin Wu, Chang-Teng Lin, Ke Hsu, Hao-Ti Hung, Manuel Schneider, Chia-Min Chung, Ying-Jer Kao, Pochung Chen, arXiv:2401.01921.
  5. “Chern dartboard insulator: sub-Brillouin zone topology and skyrmion multipoles”, Yun-Chung Chen, Yu-Ping Lin, Ying-Jer Kao, Commun Phys 7, 32 (2024),arXiv:2302.07448.

2023

  1. “Tensor Network Based Finite-Size Scaling for Two-Dimensional Classical Models”, Ching-Yu Huang, Sing-Hong Chan, Ying-Jer Kao, Pochung Chen, Phys. Rev. B, 107 205123 (2023), arXiv:2302.02585.
  2. “Stably protected gapless edge states without Wannier obstruction”, Yun-Chung Chen, Yu-Ping Lin, Ying-Jer Kao, Phys. Rev. B 107, 075126 (2023), arXiv:2206.04858.

2022

  1. “Study of SU(2) gauge theories with multiple Higgs fields in different representations”, Guilherme Catumba, Atsuki Hiraguchi, George W.-S. Hou, Karl Jansen, Ying-Jer Kao, C.-J. David Lin, Alberto Ramos, Mugdha Sarkar, arXiv:2210.09855.
  2. “Variational Tensor Network Operator”, Yu-Hsueh Chen, Ke Hsu, Wei-Lin Tu, Hyun-Yong Lee, Ying-Jer Kao,Phys. Rev. Research 4, 043153(2022), arXiv:2207.01819.
  3. “Variational Quantum Reinforcement Learning via Evolutionary Optimization”, Samuel Yen-Chi Chen, Chih-Min Huang, Chia-Wei Hsing, Hsi-Sheng Goan, Ying-Jer Kao, Mach. Learn.: Sci. Technol. 3 015025(2022), arXiv:2109.00540.
  4. “Excitation spectrum of spin-1 Kitaev spin liquids”, Yu-Hseuh Chen, Jozef Genzor, Yong Baek Kim, Ying-Jer Kao, Phys. Rev. B 105, L060403(2022), arXiv:2107.04730.
  5. “Phase structure of the CP(1) model in the presence of a topological \(\theta\)-term”, Katsumasa Nakayama, Lena Funcke, Karl Jansen, Ying-Jer Kao, Stefan Kühn, Phys. Rev. D 105, 054507 (2022), arXiv:2107.14220.
  6. “J1-J2 fractal studied by multi-recursion tensor-network method”, Josef Genzor, Andrej Gendiar, Ying-Jer Kao,Phys. Rev. E 105, 024124(2022), arXiv:2107.11406.

2021

  1. “Two-wire Junction of Inequivalent Tomonaga-Luttinger Liquids”, Yao-Tai Kang, Chung-Yu Lo, Masaki Oshikawa, Ying-Jer Kao, Pochung Chen, Phys. Rev. B, 104, 235142(2021), arXiv:2105.03104
  2. “Detecting transition between Abelian and non-Abelian topological orders through symmetric tensor networks”, Yu-Hsueh Chen, Ching-Yu Huang, and Ying-Jer Kao, Phys. Rev. B 104, 045131(2021), arXiv:2102.10980.
  3. “Neural Monte Carlo Renormalization Group”, Jui-Hui Chung, Ying-Jer Kao, Phys. Rev. Research 3, 023230(2021), arXiv:2010.05703.
  4. “An end-to-end trainable hybrid classical-quantum classifier”, Samual Yen-Chi Chen, Chih-Min Huang, Chia-Wei Hsing, Ying-Jer Kao, Mach. Learn.: Sci. Technol. 2 045021 (2021), arXiv:2102.02416.

2020

  1. “Emergent Snake Magnetic Domains in Canted Kagome Ice”, Wen-Han Kao, Gia-Wei Chern, Ying-Jer Kao , Phys. Rev. Res, 2, 023046, arXiv:1908.05872.
  2. “Entanglement Renyi negativity across a finite temperature transition: a Monte Carlo study”,Kai-Hsin Wu, Tsung-Cheng Lu, Chia-Min Chung, Ying-Jer Kao, Tarun Grover, Phys. Rev. Lett. 125, 140603(2020),arXiv:1912.03313.
  3. “Hybrid quantum-classical classifier based on tensor network and variational quantum circuit”, Samual Yen-Chi Chen, Chih-Min Huang, Chia-Wei Hsing, Ying-Jer Kao, arXiv:2011.14651.

2019

  1. “Optimal Real-Space Renormalization-Group Transformations with Artificial Neural Networks”, Jui-Hui Chung, Ying-Jer Kao, arXiv:1912.09005, proceeding of Workshop on Machine Learning and the Physical Sciences at the 33rd Conference on Neural Information Processing Systems (NeurIPS).
  2. “Phase structure of the 1+ 1 dimensional massive Thirring model from matrix product states”, Mari Carmen Bañuls, Krzysztof Cichy, Ying-Jer Kao, C-J David Lin, Yu-Ping Lin, David T-L Tan,Phys. Rev. D, 100, 094504 (2019), arXiv:1908.04536.
  3. “Generation of ice states through deep reinforcement learning”, Kai-Wen Zhao, Wen-Han Kao, Kai-Hsin Wu, and Ying-Jer Kao, Phys. Rev. E 99, 062106 (2019), arXiv:1903.04698.
  4. “Tunneling-induced restoration of classical degeneracy in quantum kagome ice”, Kai-Hsin Wu, Yi-Ping Huang, and Ying-Jer Kao,Phys. Rev. B 99, 134440 (2019), arXiv:1806.08145.
  5. “Crossover of correlation functions near a quantum impurity in a Tomonaga-Luttinger liquid”, Chung-Yu Lo (羅中佑), Yoshiki Fukusumi (福住吉喜), Masaki Oshikawa (押川正毅), Ying-Jer Kao (高英哲), and Pochung Chen (陳柏中),Phys. Rev. B 99, 121103(R) (2019), arXiv:1805.05006.
  6. “Phase boundary location with information-theoretic entropy in tensor renormalization group flows”, Adil A. Gangat, Ying-Jer Kao, Phys. Rev. B 100, 094430 (2019), arXiv:1901.08193.

2018

  1. “Gapless spin liquid in the kagome Heisenberg antiferromagnet with Dzyaloshinskii-Moriya interactions”, Chih-Yuan Lee, B. Normand, and Ying-Jer Kao, Phys. Rev. B 98, 224414 (2018),arXiv:1809.09128.
  2. “Tensor Network study of the (1+1)-dimensional Thirring Model”, Mari-Carmen Bañuls, Krzysztof Cichy, Ying-Jer Kao, C.-J. David Lin, Yu-Ping Lin, David Tao-Lin Tan, EPJ Web Conf. 175, 2018 .
  3. “Symmetry between repulsive and attractive interactions in driven-dissipative Bose-Hubbard systems”, Adil A. Gangat, Ian P. McCulloch and Ying-Jer Kao, Sci. Rep. 8, 3698 (2018).

2017

  1. “Dynamic scaling in the two-dimensional Ising spin glass with normal-distributed couplings”, Na Xu, Kai-Hsin Wu, Shanon J. Rubin, Ying-Jer Kao, and Anders W. Sandvik, Phys. Rev. E 96, 052102 (2017).
  2. “Griffiths singularities in the random quantum Ising antiferromagnet: A tree tensor network renormalization group study”, Yu-Ping Lin, Ying-Jer Kao, Pochung Chen, and Yu-Cheng Lin, Phys. Rev. B 96, 064427 (2017).
  3. “Steady States of Infinite-Size Dissipative Quantum Chains via Imaginary Time Evolution”, Adil A. Gangat, Te I, and Ying-Jer Kao, Phys. Rev. Lett. 119, 010501 (2017).
  4. “Quantum phase transitions driven by rhombic-type single-ion anisotropy in the S=1 Haldane chain”, Yu-Chin Tzeng (曾郁欽), Hiroaki Onishi (大西弘明), Tsuyoshi Okubo (大久保毅), and Ying-Jer Kao (高英哲),Phys. Rev. B 96, 060404(R) (2017).

2016

  1. “Incommensurate spin density wave as a signature of spin-orbit coupling and precursor of topological superconductivity”, Aaron Farrell, P.-K. Wu, Y.-J. Kao, and T. Pereg-Barnea, Phys. Rev. B 94, 214424 (2016)
  2. “Field-induced ordering in dipolar spin ice”, Wen-Han Kao (高文瀚), Peter C. W. Holdsworth, and Ying-Jer Kao (高英哲),Phys. Rev. B 93, 180410(R) (2016).