Quantum Error Processing Toolkit
**QEP** is an open-source [Quantum Error Processing](https://pypi.org/project/qcompute-qep/) toolkit, aiming to deal with quantum errors inherent in quantum computers using novel …
Kun WANG
Associate Researcher
College of Computer Science and Technology, National University of Defense Technology
Research Interests:
- Photonic Quantum Computing
- Quantum Characterization, Verification, and Validation
- Distributed Quantum Estimation
- Quantum Information Theory
Biography
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.
Education
I received my bachelor’s degree and Ph.D. from Nanjing University in 2013 and 2019, respectively, under the supervision of Prof. Fangmin Song.
In 2018, I visited the Southern University of Science and Technology under the supervision of Prof. Masahito Hayashi, supported by the Program B for Outstanding Ph.D. Candidate of Nanjing University.
In 2017, I visited the University of Technology Sydney under the supervision of Prof. Runyao Duan, supported by the China Scholarship Council.
Recent News
Recent Publications
(2026).
Bipartite Gaussian Boson Sampling for Hamiltonian Cycles in Directed Graphs.
arXiv preprint arXiv:2606.28775.
(2026).
Efficient Verification of Entangled Measurements with Local States.
arXiv preprint arXiv:2606.21355.
(2026).
Efficient Verification of Stabilizer Code Subspaces with Local Measurements.
Quantum Science and Technology 11, 035005.
(2026).
Adaptive Stabilizer State Fidelity Certification.
arXiv preprint arXiv:2605.29820.
(2026).
Worst-Case Sample Complexity Bounds for Distributed Inner Product Estimation with Local Randomized Measurements.
arXiv preprint arXiv:2605.14256.
Software
Recent Posts
Researchers make progress on quantum dense coding with locality constraints on decoder
The researchers explored the practicality of dense coding by elaborating 21 classes of dense coding capacities with different encoder-decoder pairs, where the encoders are …
How to Make Infinite to be Finite
As I read the wiki entry on Transfinite number, some problems come to my mind. Take Finite out of Infinite what is left after I take a finite subset out of an infinite set? …
Turing Machine Simulator
A Turing machine simulator that can simulates the turing machine described in the book "*Introduction to Models of Computation*".
New Research on the Resource Theory of Quantum Channels
Recent research by a team at Southern University of Science and Technology (SUSTech) introduced a new resource theory of quantum channels and applied it to study communication over …