Quantum Process Overlapping Tomography: Theory and Experiment

Jun 17, 2025·
Yi Hu
,
Congcong Zheng
,
Xiaojun Wang
,
Zaichen Zhang
,
Ping Xu
Kun WANG
Kun WANG
· 0 min read
Abstract
This work develops the theory of quantum process overlapping tomography and validates it experimentally. By targeting overlapping information rather than reconstructing every process parameter independently, the method offers a focused approach to characterizing quantum dynamics.
Type
Publication
Physical Review Applied 23, 064042
publication research
Kun WANG
Authors
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.