Scholar
Jiaqing Jiang
Google Scholar ID: j4yHi7AAAAAJ
UC Berkeley
Citations & Impact
Citations
291
H-index
9
i10-index
8
Publications
15
Co-authors
12
list available
Contact
Publications
Resume (English only)
Academic Achievements
- - Published Papers:
- - High-Temperature Fermionic Gibbs States are Mixtures of Gaussian States (2025)
- - Gibbs state preparation for commuting Hamiltonian: Mapping to classical Gibbs sampling (2024)
- - Positive bias makes tensor-network contraction tractable (2024)
- - Quantum Metropolis Sampling via Weak Measurement (2024)
- - Sign problem in tensor network contraction (2024)
- - Local Hamiltonian Problem with succinct ground state is MA-Complete (2023)
- - Commuting Local Hamiltonian problem on 2D beyond qubits (2023)
- - Recent Talks:
- - How Hamiltonian Complexity differs from Quantum Chemistry (2025)
- - Quantum Metropolis algorithm via weak measurement (2025)
- - MIT Seminar (2024)
- - Ohio State University (2024)
- - University of Waterloo (2024)
- - Nanjing University (2024)
- - Theory Seminar, Caltech (2024)
Research Experience
- - Quantum Postdoctoral Fellow at the Simons Institute for the Theory of Computing, hosted by Umesh Vazirani
- - Projects: Quantum Gibbs state preparation, ground energy estimation, etc.
Education
- - PhD: Caltech, 2025
- - Advisors: Thomas Vidick, Urmila Mahadev, John Preskill
Background
- - Research Interests: Quantum algorithms and quantum complexity, particularly in understanding the potential quantum advantage for solving many-body systems, such as estimating ground energy and preparing ground states/Gibbs states.
- - Professional Field: Quantum chemistry and condensed matter physics, examples include the electronic structure problem and the 2D Hubbard model.
- - Brief Introduction: Aiming to find rigorous and explicit evidence that quantum computers can provide an advantage for ground energy estimation problems.
Miscellany
- Feel free to contact me if you happen to be interested in similar questions, or just want to say hello :)
