People: Hong-Ye Hu

Postdoc
Publications
  1. H. Zhou, M. Cain, D. Bluvstein, H.-Y. Hu, S. Wang, M. Lukin, C. Zhao, C. Duckering, and A. Kubica. Algorithmic Fault Tolerance for Fast Quantum Computing. ArXiv 2024.
  2. R. A. Bravo, H.-Y. Hu, S. Yelin, and J. G. Ponce. Circumventing traps in analog quantum machine learning algorithms through co-design. APL Quantum 1, 046121, 2024.
  3. H.-Y. Hu, A. Gu, D. Wang, S. Yelin, S. Majumder, H. Ren, Y. Zhang, Y.-Z. You, Z. Minev, and A. Seif. Demonstration of Robust and Efficient Quantum Property Learning with Shallow Shadows. ArXiv 2024.
  4. K. Van Kirk, H.-Y. Hu, M. Cain, S. Yelin, H. Pichler, M. Lukin, C. Kokail, J. Kunjummen, Y. Teng, and J. Taylor. Derandomized shallow shadows: Efficient Pauli learning with bounded-depth circuits. ArXiv 2024.
  5. H.-Y. Hu, S. Cantu, S. Yelin, S. Wang, J. Z. Lu, L. Jiao, K. Wolinski, M. Kornjača, and F. Liu. Digital–analog quantum learning on Rydberg atom arrays. Quantum Science and Technology , 10(015038), November 2024.
  6. D. Mark, H.-Y. Hu, K. Kwon, S. Choi, S. Yelin, and C. Kokail. Efficiently measuring d-wave pairing and beyond in quantum gas microscopes. ArXiv 2024.
  7. A. Gu, H.-Y. Hu, T. Patti, S. Yelin, D. Luo, and N. C. Rubin. Zero and Finite Temperature Quantum Simulations Powered by Quantum Magic. Quantum 8, 1422, 2024.