Quantum Architecture Search via Deep Reinforcement Learning. - En-Jui Kuo; Yao-Lung L. Fang; Samuel Yen-Chi Chen (CoRR, 2021)

The Computational Complexity of Quantum Determinants. - Shih-Han Hung; En-Jui Kuo (CoRR, 2023)

Training Classical Neural Networks by Quantum Machine Learning. - Chen-Yu Liu; En-Jui Kuo; Chu-Hsuan Abraham Lin; Sean Chen; Jason Gemsun Young; Yeong-Jar Chang; Min-Hsiu Hsieh (QCE, 2024)

CoRMF: Criticality-Ordered Recurrent Mean Field Ising Solver. - Zhenyu Pan; Ammar Gilani; En-Jui Kuo; Zhuo Liu (CoRR, 2024)

Oracle Separation between Noisy Quantum Polynomial Time and the Polynomial Hierarchy. - Nai-Hui Chia; Min-Hsiu Hsieh; Shih-Han Hung; En-Jui Kuo (CoRR, 2024)

Computational Limits of Low-Rank Adaptation (LoRA) for Transformer-Based Models. - Jerry Yao-Chieh Hu; Maojiang Su; En-Jui Kuo; Zhao Song 002; Han Liu 001 (CoRR, 2024)

Computational Limits of Low-Rank Adaptation (LoRA) Fine-Tuning for Transformer Models. - Jerry Yao-Chieh Hu; Maojiang Su; En-Jui Kuo; Zhao Song 002; Han Liu 001 (ICLR, 2025)

Quantum Adaptive Self-Attention for Quantum Transformer Models. - Chi-Sheng Chen; En-Jui Kuo (CoRR, 2025)

Unraveling Quantum Environments: Transformer-Assisted Learning in Lindblad Dynamics. - Chi-Sheng Chen; En-Jui Kuo (CoRR, 2025)