publications

publications by categories in reversed chronological order.

2025

  1. 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

2024

  1. 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
  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
  3. Computational Limits of Low-Rank Adaptation (LoRA) for Transformer-Based Models
    Jerry Yao-Chieh Hu, Maojiang Su, En-Jui Kuo, and 2 more authors
    arXiv preprint arXiv:2406.03136, 2024
  4. CoRMF: Criticality-Ordered Recurrent Mean Field Ising Solver
    Zhenyu Pan, Ammar Gilani, En-Jui Kuo, and 1 more author
    arXiv preprint arXiv:2403.03391, 2024
  5. Self-Testing Quantum Error Correcting Codes: Analyzing Computational Hardness
    En-Jui Kuo, and Li-Yi Hsu
    arXiv preprint arXiv:2409.01987, 2024
  6. 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
  7. Training classical neural networks by quantum machine learning
    Chen-Yu Liu, En-Jui Kuo, Chu-Hsuan Abraham Lin, and 4 more authors
    arXiv preprint arXiv:2402.16465, 2024
  8. 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
    arXiv preprint arXiv:2405.11304, 2024

2023

  1. The Computational Complexity of Quantum Determinants
    Shih-Han Hung, and En-Jui Kuo
    arXiv preprint arXiv:2302.08083, 2023
  2. Qubit-oscillator concatenated codes: Decoding formalism and code comparison
    Yijia Xu, Yixu Wang, En-Jui Kuo, and 1 more author
    PRX Quantum, 2023

2022

  1. Boson Sampling for Generalized Bosons
    En-Jui Kuo, Yijia Xu, Dominik Hangleiter, and 2 more authors
    arXiv preprint arXiv:2204.08389, 2022
  2. Decoding conformal field theories: From supervised to unsupervised learning
    En-Jui Kuo, Alireza Seif, Rex Lundgren, and 2 more authors
    Physical Review Research, 2022
  3. 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
  4. 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
  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
  6. Unsupervised learning of interacting topological and symmetry-breaking phase transitions
    En-Jui Kuo, and Hossein Dehghani
    Physical Review B, 2022

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

2020

  1. Halperin states can produce any filling fractions
    En-Jui Kuo
    arXiv preprint arXiv:2004.09035, 2020
  2. 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

2018

  1. Towards spinning Mellin amplitudes
    Heng-Yu Chen, En-Jui Kuo, and Hideki Kyono
    Nuclear Physics B, 2018

2017

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

2016

  1. Extremal RN/CFT in both hands revisited
    En-Jui Kuo, and Yi Yang
    Physics Letters B, 2016