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

Quantum Information/Computing
Condensed Matter Theory
Complexity Theory
Mathematical Physics

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.