Learning molecular dynamics with simple language model built upon long short-term memory neural network ST Tsai, EJ Kuo, P Tiwary Nature communications 11 (1), 5115, 2020 | 79 | 2020 |
Quantum architecture search via deep reinforcement learning EJ Kuo, YLL Fang, SYC Chen arXiv preprint arXiv:2104.07715, 2021 | 78 | 2021 |
Anatomy of geodesic Witten diagrams HY Chen, EJ Kuo, H Kyono Journal of High Energy Physics 2017 (5), 1-40, 2017 | 59 | 2017 |
Towards spinning Mellin amplitudes HY Chen, EJ Kuo, H Kyono Nuclear Physics B 931, 291-323, 2018 | 28 | 2018 |
Path sampling of recurrent neural networks by incorporating known physics ST Tsai, E Fields, Y Xu, EJ Kuo, P Tiwary Nature Communications 13 (1), 7231, 2022 | 15 | 2022 |
Accurate and efficient quantum computations of molecular properties using daubechies wavelet molecular orbitals: A benchmark study against experimental data CL Hong, T Tsai, JP Chou, PJ Chen, PK Tsai, YC Chen, EJ Kuo, ... PRX Quantum 3 (2), 020360, 2022 | 14 | 2022 |
Qubit-oscillator concatenated codes: Decoding formalism and code comparison Y Xu, Y Wang, EJ Kuo, VV Albert PRX Quantum 4 (2), 020342, 2023 | 10 | 2023 |
CoRMF: Criticality-Ordered Recurrent Mean Field Ising Solver Z Pan, A Gilani, EJ Kuo, Z Liu arXiv preprint arXiv:2403.03391, 2024 | 4 | 2024 |
Training classical neural networks by quantum machine learning CY Liu, EJ Kuo, CHA Lin, S Chen, JG Young, YJ Chang, MH Hsieh arXiv preprint arXiv:2402.16465, 2024 | 4 | 2024 |
Decoding conformal field theories: From supervised to unsupervised learning EJ Kuo, A Seif, R Lundgren, S Whitsitt, M Hafezi Physical Review Research 4 (4), 043031, 2022 | 4 | 2022 |
Energy diffusion in weakly interacting chains with fermionic dissipation-assisted operator evolution EJ Kuo, B Ware, P Lunts, M Hafezi, CD White arXiv preprint arXiv:2311.17148, 2023 | 3 | 2023 |
Boson sampling for generalized bosons EJ Kuo, Y Xu, D Hangleiter, A Grankin, M Hafezi Physical Review Research 4 (4), 043096, 2022 | 3 | 2022 |
Quantum-Train: Rethinking Hybrid Quantum-Classical Machine Learning in the Model Compression Perspective CY Liu, EJ Kuo, CHA Lin, JG Young, YJ Chang, MH Hsieh, HS Goan arXiv preprint arXiv:2405.11304, 2024 | 2 | 2024 |
Unsupervised learning of interacting topological and symmetry-breaking phase transitions EJ Kuo, H Dehghani Physical Review B 105 (23), 235136, 2022 | 2 | 2022 |
Quantum State Tomography via Nonconvex Riemannian Gradient Descent MC Hsu, EJ Kuo, WH Yu, JF Cai, MH Hsieh Physical Review Letters 132 (24), 240804, 2024 | 1 | 2024 |
Extremal RN/CFT in both hands revisited EJ Kuo, Y Yang Physics Letters B 755, 249-252, 2016 | 1 | 2016 |
Computational Limits of Low-Rank Adaptation (LoRA) for Transformer-Based Models JYC Hu, M Su, EJ Kuo, Z Song, H Liu arXiv preprint arXiv:2406.03136, 2024 | | 2024 |
Oracle Separation between Noisy Quantum Polynomial Time and the Polynomial Hierarchy NH Chia, MH Hsieh, SH Hung, EJ Kuo arXiv preprint arXiv:2405.07137, 2024 | | 2024 |
The Computational Complexity of Quantum Determinants SH Hung, EJ Kuo arXiv preprint arXiv:2302.08083, 2023 | | 2023 |
Entanglement cost in topological stabilizer models at finite temperature TC Lu, EJ Kuo, HH Lin arXiv preprint arXiv:2201.08382, 2022 | | 2022 |