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En-Jui Kuo

En-Jui Kuo Assistant Professor

  • Education

     2018/08 - 2023/08

    University of Maryland Doctor of Philosophy in Physics

    2016/02 - 2017/07

    National Taiwan University Master of Science in Physics

    2012/09 - 2016/01

    National Yang Ming Chiao Tung University Bachelor of Science in Physics

    Experience

    2025/02 - present

    Assistant Professor, Department of Electrophysics, National Yang Ming Chiao Tung University, Taiwan

    2024/01 - 2025/01

    NCTS (National Center for Theoretical Sciences)

    2022/08 - 2023/12

    Foxconn Technology (Hon Hai Research Institute)

    Research Expertise

    1.Quantum Information/Computing
    2.Condensed Matter Theory
    3.Complexity Theory
    4.Mathematical Physics

  • Research Expetise

    1. Jerry Yao-Chieh, Maojian Su, En-Jui Kuo, Zhao Song, Han Liu ”Computational Limits of　Low-Rank Adaptation (LoRA) for Transformer-Based Models” arXiv preprint arXiv:2406.03136　International Conference on Learning Representations (ICLR) 2025
    2. Chen-Yu Liu, En-Jui Kuo, Chu-Hsuan Abraham Lin, Sean Chen, Jason Gemsun Young,Yeong-Jar Chang, Min-Hsiu Hsieh. Training Classical Neural Networks by Quantum Machine Learning.    ” 2024 IEEE international Conference on Quantum Computing and Engineering(QCE).
    3. En-Jui Kuo, Brayden Ware, Peter Lunts, Mohammad Hafezi, Christopher David White.    ”Energy diffusion in weakly interacting chains with fermionic dissipation-assisted operator evolution.” Physical Review B 110 (7), 075149.
    4. Ming-Chien Hsu, En-Jui Kuo, Wei-Hsuan Yu, Jian-Feng Cai, Min-Hsiu Hsieh.     ”Quantum state tomography via non-convex Riemannian gradient descent.” Phys. Rev. Lett. 132, 240804.
    5. En-Jui Kuo, Hossein Dehghani.     ”Unsupervised learning of interacting topological and symmetrybreaking phase transitions.”Physical Review B 105 (23), 235136. (2022).
    6. Yijia Xu, Yixu Wang, En-Jui Kuo, Victor V. Albert.     ”Qubit-oscillator concatenated codes:decoding formalism & code comparison.” PRX Quantum 4 (2), 020342.
    7. En-Jui Kuo, Yijia Xu, Dominik Hangleiter, Andrey Grankin, Mohammad Hafezi.     ”Boson Sampling for Generalized Bosons.” Physical Review Research 4 (4), 043096.
    8. En-Jui Kuo, Alireza Seif, Rex Lundgren, Seth Whitsitt, Mohammad Hafezi.     ”Decoding conformal field theories: from supervised to unsupervised learning.” Physical Review Research 4 (4), 043031. (2021).
    9. Cheng-Lin Hong, Ting Tsai, Jyh-Pin Chou, Peng-Jen Chen, Pei-Kai Tsai, Yu-Cheng Chen, En-Jui Kuo, David Srolovitz, Alice Hu, Yuan-Chung Cheng, Hsi-Sheng Goan.     ”Accurate and Efficient Quantum Computations of Molecular Properties Using Daubechies Wavelet Molecular Orbitals: A Benchmark Study against Experimental Data.” PRX QUANTUM 3, 020360.(2022).
    10. Sun-Ting Tsai, Eric Fields, Yijia Xu, En-Jui Kuo, Pratyush Tiwary.     ”Path sampling of recurrent neural networks by incorporating known physics.” Nature Communications 13 (1),7231.
    11. Sun-Ting Tsai, En-Jui Kuo, Pratyush Tiwary.     ”Learning molecular dynamics with simple language model built upon long short-term memory neural network.” Nature Communications volume 11, Article number: 5115 (2020).
    12. Heng-Yu Chen, En-Jui Kuo, H Kyono.     ”Towards spinning Mellin amplitudes.” Nuclear Physics B 931, 291-323. (2018).
    13. Heng-Yu Chen, En-Jui Kuo, H Kyono.     ”Anatomy of geodesic Witten diagrams.” Journal of High Energy Physics 2017 (5), 1-40.
    14. En-Jui Kuo, Yi Yang.     ”Extremal RN/CFT in both hands revisited.” Physics Letters B, 2016- Elsevier.