About Me

I am a third year Ph.D student in the Department of Computer Science and Technology, Tsinghua University, advised by Prof. Zhengfeng Ji and Prof. Jianxin Chen. Previously, I received my B.Eng. degree from the Department of Electronic Engineering, Tsinghua University in 2023.

My research focuses on Fault-tolerant Quantum Computing Architecture and Quantum Error Correction. I have broad research interests in scalable decoding architectures, compilation of syndrome measurement circuits, and the application of machine learning methods to address challenges in quantum error correction.

It is important to talk about an idea first. More importantly, building upon the idea is as important as initiating to talk about it.

News

[2026-03] 🌟🌟🌟 Our paper about compilation with advanced quantum instrustion set architecture: “Efficient Qubit Routing for Diverse Quantum ISAs via Canonical Representation” is accepted by ISCA 2026.

[2026-02] 🌟🌟🌟 Our paper about syndrome measurement circuit compilation: “NEAT: A Neutral-Atom Transpiler for Joint Mapping and Scheduling of Syndrome Extraction Circuits” is accepted by DAC 2026.

[2026-01] Our paper about parallel neural network decoding: Learning to Decode in Parallel: Self-Coordinating Neural Network for Real-Time Quantum Error Correction is avaible on arXiv.

[2025-11] Our survey paper on Quantum Design Automation: Quantum Design Automation: Foundations, Challenges, and the Road Ahead is available on arXiv.

[2025-11] 🌟🌟🌟 Our paper about syndrome measurement circuit compilation: “Optimal Compilation of Syndrome Extraction Circuits for General Quantum LDPC Codes” is accepted by DATE 2026. The code is available on Github: https://github.com/iqubit-org/Auto-Stabilizer-Check.

[2025-09] Our paper about real-time decoding: LATTE: A Decoding Architecture for Quantum Computing with Temporal and Spatial Scalability is available on arXiv.

For more info

If you have any questions about my research or are interested in potential collaborations in fault-tolerant quantum computing and machine learning for quantum error correction, please feel free to reach out via email at zhang-k23@mails.tsinghua.edu.cn.