Hong-Ye Hu (扈鸿业)
Scholar

Hong-Ye Hu (扈鸿业)

Google Scholar ID: Hqf3jOUAAAAJ
HQI Fellow, Harvard Quantum Initiative, Harvard University
Citations & Impact
All-time
Citations
908
 
H-index
16
 
i10-index
21
 
Publications
20
 
Co-authors
19
list available
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Fellow of the Harvard Quantum Initiative
  • Nominee for UC President’s Dissertation Year Fellowship (Physics Department, 2021)
  • Chair's Challenge Award recipient, UCSD Physics Department (2018)
  • Weiming Scholar, Peking University (2013–2016)
  • Beijing City College Graduate Excellence Award, Ministry of Education (2016)
  • Gold Medal, China Undergraduate Physics Tournament, as a member of Peking University team (2013)
  • Active reviewer for journals including Nature Communications, npj Quantum Information, Physical Review X Quantum, Physical Review Letters, Quantum, etc.
Education
  • Peking University, 2013–2016, awarded 'Weiming Scholar'
  • Received Beijing City College Graduate Excellence Award from the Ministry of Education in 2016
  • Ph.D. from UC San Diego Department of Physics (inferred from honors)
  • Nominated by UCSD Physics Department for UC President’s Dissertation Year Fellowship in 2021
  • Recipient of Chair's Challenge Award, UCSD Physics Department, in 2018
Background
  • Currently a Research Fellow at the Harvard Quantum Initiative (HQI)
  • Specializes in the intersection of quantum information theory, quantum control, and machine learning
  • Collaborates closely with experimental groups working on neutral atom tweezer arrays, optical lattices, and superconducting qubits
  • Aims to advance quantum science through precise atom control, machine learning, and engineered innovation
  • Research interests include: analog and digital quantum simulation; quantum statistical learning (e.g., Hamiltonian learning, device benchmarking, quantum state learning); quantum optimal control; and machine learning for quantum information science (e.g., automated QEC code design and efficient decoders)