Efficient Quantum Estimation of Hamiltonian Spectra via Shallow Circuits

Feb 27, 2025·
Pingyu Zhu
,
Chao Wu
,
Yang Wang
,
Jiacheng Liu
,
Gongyu Xia
,
Yan Wang
,
Qilin Zheng
,
Miaomiao Yu
,
Chang Zhao
,
Yuxing Du
,
Kaikai Zhang
Kun WANG
Kun WANG
,
Ping Xu
· 0 min read
Abstract
This work develops a quantum method for estimating Hamiltonian spectra with shallow circuits. By lowering circuit-depth demands for spectral estimation, the approach targets an important bottleneck in near-term quantum simulation and computational chemistry.
Type
Publication
Journal of Chemical Theory and Computation 21, 4417-4425
publication research
Quantum Algorithms Hamiltonian Spectra Shallow Circuits
Kun WANG
Authors
Kun WANG
Associate Researcher

I am an Associate Researcher and Outstanding Young Talent in the College of Computer Science and Technology, National University of Defense Technology (NUDT).

My research develops practical foundations for reliable and scalable quantum information processing. I work across photonic quantum computing, quantum characterization, verification and validation, distributed quantum estimation, and quantum information theory.

Before joining NUDT, I was a Senior Researcher at the Institute for Quantum Computing, Baidu Research, from 2020 to 2023. I led the development of the Quantum Error Processing (QEP) toolkit for characterizing, mitigating, and correcting errors in quantum devices through software. I received the Shenzhen Industrial Development and Innovation Talent Award in 2023.

Previously, I was a postdoc at the Shenzhen Institute for Quantum Science and Engineering (SIQSE), Southern University of Science and Technology, where I worked with Prof. Masahito Hayashi.