publications

publications by categories in reversed chronological order.

2026

  1. Quantum Adaptive Self-Attention for Quantum Transformer Models
    Chi-Sheng Chen, and En-Jui Kuo
    Quantum Science and Technology, 2026
    DOI
  2. Accretion-Driven Squeezing of Fuzzy Dark Matter Halo Cores in the Schrödinger–Newton Framework
    Chon-Fai Kam, Chi-Sheng Chen, and En-Jui Kuo
    Journal of Cosmology and Astroparticle Physics, 2026
    DOI
  3. Beyond Boson Sampling: Higher Spin Sampling as a Practical Path to Quantum Supremacy
    Chon-Fai Kam, and En-Jui Kuo
    npj Quantum Information, 2026
    DOI
  4. Quantum Algorithms for Gowers Norm Estimation, Polynomial Testing, and Arithmetic Progression Counting over Finite Abelian Groups
    En-Jui Kuo
    Quantum Information Processing, 2026
    DOI
  5. CoRMF: Criticality-Ordered Recurrent Mean Field Ising Solver
    Zhenyu Pan, Zhuo Liu, and En-Jui Kuo
    Physica A: Statistical Mechanics and its Applications, 2026
    DOI
  6. Quantum-Secured Device-Independent Global Positioning System
    Chon-Fai Kam, and En-Jui Kuo
    EPJ Quantum Technology, 2026
    DOI
  7. Quantum Reinforcement Learning-Guided Diffusion Model for Image Synthesis via Hybrid Quantum-Classical Generative Model Architectures
    Chi-Sheng Chen, and En-Jui Kuo
    In 2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2026
    DOI
  8. QKAN-LSTM: Quantum-Inspired Kolmogorov–Arnold Long Short-Term Memory
    Yu-Chao Hsu, Jiun-Cheng Jiang, Chun-Hua Lin, and 5 more authors
    In 2026 International Conference on Quantum Communications, Networking, and Computing (QCNC), 2026
    DOI
  9. Meta-Learning for GPU-Accelerated Quantum Many-Body Problems
    Yun-Hsuan Chen, Jen-Yu Chang, Tsung-Wei Huang, and 1 more author
    In 2026 International Conference on Quantum Communications, Networking, and Computing (QCNC), 2026
    DOI
  10. Lattice-Quantile Estimation of \pi and Convex-Region Integrals from Coined Two-Dimensional Quantum Walks
    Jen-Yu Chang, En-Jui Kuo, Chi-Yuan Chen, and 1 more author
    arXiv preprint arXiv:2606.22334, 2026
    arXiv
  11. Split-Head Quantum Generative Adversarial Network for Crystalline Material Discovery
    Hsuan-Ming Chang, Jen-Yu Chang, Tsung-Wei Huang, and 1 more author
    arXiv preprint arXiv:2606.17852, 2026
    arXiv
  12. Gated QKAN-FWP: Scalable Quantum-Inspired Sequence Learning
    Kuo-Chung Peng, Samuel Yen-Chi Chen, Jiun-Cheng Jiang, and 3 more authors
    arXiv preprint arXiv:2605.06734, 2026
    arXiv
  13. Quantum Magic in Early FTQC: From Diagonal Clifford Hierarchy No-Go Theorems to Architecture Design Blueprints
    Hung-Hsuan Lu, Yasunobu Suzuki, Yasunobu Nakamura, and 1 more author
    arXiv preprint arXiv:2605.04758, 2026
    arXiv
  14. Do Quantum Transformers Help? A Systematic VQC Architecture Comparison on Tabular Benchmarks
    Chi-Sheng Chen, and En-Jui Kuo
    arXiv preprint arXiv:2604.23931, 2026
    arXiv
  15. Few-Shot Continual Learning for 3D Brain MRI with Frozen Foundation Models
    Chi-Sheng Chen, Xinyu Zhang, Guan-Ying Chen, and 3 more authors
    arXiv preprint arXiv:2602.23533, 2026
    arXiv
  16. FreqLens: Interpretable Frequency Attribution for Time Series Forecasting
    Chi-Sheng Chen, Xinyu Zhang, En-Jui Kuo, and 3 more authors
    arXiv preprint arXiv:2602.08768, 2026
    arXiv
  17. A Unified SPD Token Transformer Framework for EEG Classification: Systematic Comparison of Geometric Embeddings
    Chi-Sheng Chen, En-Jui Kuo, Guan-Ying Chen, and 2 more authors
    arXiv preprint arXiv:2601.21521, 2026
    arXiv

2025

  1. Quantum Supremacy through Fock State q-Boson Sampling with Transmon Qubits
    Chon-Fai Kam, and En-Jui Kuo
    New Journal of Physics, 2025
    DOI
  2. Accelerating Parameter Initialization in Quantum Chemical Simulations via LSTM-FC-VQE
    Ran-Yu Chang, Yu-Cheng Lin, Pei-Che Hsu, and 2 more authors
    IEEE Access, 2025
    DOI
  3. Unraveling Quantum Environments: Transformer-Assisted Learning in Lindblad Dynamics
    Chi-Sheng Chen, and En-Jui Kuo
    Physical Review A, 2025
    DOI
  4. Quantum-Train: Rethinking Hybrid Quantum-Classical Machine Learning in the Model Compression Perspective
    Chen-Yu Liu, En-Jui Kuo, Chu-Hsuan Abraham Lin, and 4 more authors
    Quantum Machine Intelligence, 2025
    DOI
  5. Federated Quantum Kernel-Based Long Short-Term Memory for Human Activity Recognition
    Yu-Chao Hsu, Jiun-Cheng Jiang, Chun-Hua Lin, and 6 more authors
    In 2025 IEEE International Conference on Quantum Computing and Engineering (QCE), 2025
    DOI
  6. Computational Limits of Low-Rank Adaptation (LoRA) Fine-Tuning for Transformer Models
    Jerry Yao-Chieh Hu, Maojiang Su, En-Jui Kuo, and 2 more authors
    In International Conference on Learning Representations (ICLR), 2025
    arXiv HTML
  7. Quantum Temporal Convolutional Neural Networks for Cross-Sectional Equity Return Prediction: A Comparative Benchmark Study
    Chi-Sheng Chen, Xinyu Zhang, En-Jui Kuo, and 3 more authors
    arXiv preprint arXiv:2512.06630, 2025
    arXiv
  8. Unsupervised Feature Extraction and Reconstruction Using Parameterized Quantum Circuits
    Li-An Lo, Li-Yi Hsu, and En-Jui Kuo
    arXiv preprint arXiv:2502.07667, 2025
    arXiv

2024

  1. Training Classical Neural Networks by Quantum Machine Learning
    Chen-Yu Liu, En-Jui Kuo, Chu-Hsuan Abraham Lin, and 4 more authors
    In 2024 IEEE International Conference on Quantum Computing and Engineering (QCE), 2024
    DOI
  2. Energy Diffusion in Weakly Interacting Chains with Fermionic Dissipation Assisted Operator Evolution
    En-Jui Kuo, Brayden Ware, Peter Lunts, and 2 more authors
    Physical Review B, 2024
    DOI
  3. Quantum State Tomography via Nonconvex Riemannian Gradient Descent
    Ming-Chien Hsu, En-Jui Kuo, Wei-Hsuan Yu, and 2 more authors
    Physical Review Letters, 2024
    DOI
  4. Oracle Separation between Noisy Quantum Polynomial Time and the Polynomial Hierarchy
    Nai-Hui Chia, Min-Hsiu Hsieh, Shih-Han Hung, and 1 more author
    arXiv preprint arXiv:2405.07137, 2024
    arXiv
  5. Self-Testing Quantum Error Correcting Codes: Analyzing Computational Hardness
    En-Jui Kuo, and Li-Yi Hsu
    arXiv preprint arXiv:2409.01987, 2024
    arXiv

2023

  1. Qubit-Oscillator Concatenated Codes: Decoding Formalism and Code Comparison
    Yijia Xu, Yixu Wang, En-Jui Kuo, and 1 more author
    PRX Quantum, 2023
    DOI
  2. The Computational Complexity of Quantum Determinants
    Shih-Han Hung, and En-Jui Kuo
    arXiv preprint arXiv:2302.08083, 2023
    arXiv

2022

  1. Unsupervised Learning of Interacting Topological and Symmetry-Breaking Phase Transitions
    En-Jui Kuo, and Hossein Dehghani
    Physical Review B, 2022
    DOI
  2. Boson Sampling for Generalized Bosons
    En-Jui Kuo, Yijia Xu, Dominik Hangleiter, and 2 more authors
    Physical Review Research, 2022
    DOI
  3. Decoding Conformal Field Theories: From Supervised to Unsupervised Learning
    En-Jui Kuo, Alireza Seif, Rex Lundgren, and 2 more authors
    Physical Review Research, 2022
    DOI
  4. Accurate and Efficient Quantum Computations of Molecular Properties Using Daubechies Wavelet Molecular Orbitals: A Benchmark Study against Experimental Data
    Cheng-Lin Hong, Ting Tsai, Jyh-Pin Chou, and 8 more authors
    PRX Quantum, 2022
    DOI
  5. Path Sampling of Recurrent Neural Networks by Incorporating Known Physics
    Sun-Ting Tsai, Eric Fields, Yijia Xu, and 2 more authors
    Nature Communications, 2022
    DOI
  6. Entanglement Cost in Topological Stabilizer Models at Finite Temperature
    Tsung-Cheng Lu, En-Jui Kuo, and Hung-Hwa Lin
    arXiv preprint arXiv:2201.08382, 2022
    arXiv

2021

  1. Quantum Architecture Search via Deep Reinforcement Learning
    En-Jui Kuo, Yao-Lung L. Fang, and Samuel Yen-Chi Chen
    arXiv preprint arXiv:2104.07715, 2021
    arXiv

2020

  1. Learning Molecular Dynamics with Simple Language Model Built upon Long Short-Term Memory Neural Network
    Sun-Ting Tsai, En-Jui Kuo, and Pratyush Tiwary
    Nature Communications, 2020
    DOI
  2. Halperin States Can Produce Any Filling Fractions
    En-Jui Kuo
    arXiv preprint arXiv:2004.09035, 2020
    arXiv

2018

  1. Towards Spinning Mellin Amplitudes
    Heng-Yu Chen, En-Jui Kuo, and Hideki Kyono
    Nuclear Physics B, 2018
    DOI

2017

  1. Anatomy of Geodesic Witten Diagrams
    Heng-Yu Chen, En-Jui Kuo, and Hideki Kyono
    Journal of High Energy Physics, 2017
    DOI

2016

  1. Extremal RN/CFT in Both Hands Revisited
    En-Jui Kuo, and Yi Yang
    Physics Letters B, 2016
    DOI