Publications

Work on learning quantum structure from measurements, monitored dynamics, robustness, and hardware-aware quantum compilation.

My name is shown in bold. An up-to-date citation record is available on Google Scholar.

Publications and preprints

  1. 2026
    Neural network robustness under heavy input corruption
    Justin Tahmassebpur, Asadullah Bhuiyan, Hyejin Kim, and Omri Lesser
    Physical Review Research (2026) · doi:10.1103/qkrg-wbbj
    Journal arXiv
  2. 2025
    Learning measurement-induced phase transitions using attention
    Hyejin Kim, Abhishek Kumar, Yiqing Zhou, Yichen Xu, Romain Vasseur, and Eun-Ah Kim
    arXiv:2508.15895 · under review at PRX Intelligence
    arXiv
  3. 2025
    Attention to quantum complexity
    Hyejin Kim, Yiqing Zhou, Yichen Xu, Kaarthik Varma, Amir H. Karamlou, Ilan T. Rosen, Jesse C. Hoke, Chao Wan, Jin Peng Zhou, William D. Oliver, Yuri D. Lensky, Kilian Q. Weinberger, and Eun-Ah Kim
    Science Advances 11, eadu0059
    Journal
  4. 2022
    Minimal neural network to learn the metal-insulator transition in the dynamical mean-field theory
    Hyejin Kim, D. Kim, and Dong-Hee Kim
    New Physics: Sae Mulli 72, 487-494
    Journal Code

Manuscript in preparation

  1. 2026
    Reinforcement learning for hardware-aware reconfigurable atom array compilation
    Hyejin Kim, Yichen Xu, Jin Peng Zhou, and Eun-Ah Kim
    Manuscript in preparation