主要研究实用量子计算的理论与应用：
1. 量子纠错与容错量子计算理论；
2. 量子低密度奇偶校验码与解码算法；
3. 容错量子计算架构的软硬件协同设计；
4. 量子算法、量子机器学习与量子软件。
个人简介
赵宸，宁波东方理工大学助理教授、副研究员、博士生导师。2022年获中国科学院数学与系统科学研究院应用数学博士学位，随后在哈佛大学从事博士后研究，并先后担任 QuEra Computing 研究科学家和高级研究科学家。主要围绕实用量子计算开展理论与应用研究，重点关注容错量子计算架构、量子纠错与解码算法，以及早期容错量子计算应用。相关成果发表于 Nature、Physical Review Letters、PRX Quantum 等期刊。
研究领域
主要研究实用量子计算的理论与应用：
1. 量子纠错与容错量子计算理论；
2. 量子低密度奇偶校验码与解码算法；
3. 容错量子计算架构的软硬件协同设计；
4. 量子算法、量子机器学习与量子软件。
教育背景
2017.09–2022.06 中国科学院数学与系统科学研究院，应用数学博士
2013.08–2017.06 中山大学，数学与应用数学学士
工作经历
2025.12–2026.06 QuEra Computing Inc., Senior Quantum Scientist
2024.01–2025.12 QuEra Computing Inc., Quantum Scientist
2022.09–2024.01 哈佛大学，博士后
总体情况
论文和预印本十余篇，引用900余次，H-index 12。
论著信息及引用数据
Google Scholar：https://scholar.google.com/citations?user=sCRwDE0AAAAJ&hl=en
代表作（说明：*表示通讯作者，#表示共同第一作者。）
已发表论文
Hengyun Zhou#*, Chen Zhao#, Madelyn Cain, Dolev Bluvstein, Nishad Maskara, Casey Duckering, Hong-Ye Hu, Sheng-Tao Wang, Aleksander Kubica, Mikhail D. Lukin*. Low-overhead transversal fault tolerance for universal quantum computation. Nature 646, 303–308 (2025).
Refaat Ismail#, I-Chi Chen#, Chen Zhao*, Ronen Weiss, Fangli Liu, Hengyun Zhou, Sheng-Tao Wang*, Andrew Sornborger*, Milan Kornjača*. Transversal Architecture for Megaquop-Scale Quantum Simulation with Neutral Atoms. PRX Quantum 7, 020343 (2026).
Madelyn Cain, Chen Zhao, Hengyun Zhou, Nadine Meister, J. Pablo Bonilla Ataides, Arthur Jaffe, Dolev Bluvstein, Mikhail D. Lukin*. Correlated Decoding of Logical Algorithms with Transversal Gates. Physical Review Letters 133, 240602 (2024).
Pedro Sales Rodriguez#, John M. Robinson#, Paul Niklas Jepsen#, Zhiyang He, Casey Duckering, Chen Zhao, Kai-Hsin Wu, Joseph Campo, Kevin Bagnall, Minho Kwon, Thomas Karolyshyn, Phillip Weinberg, Madelyn Cain, Simon J. Evered, Alexandra A. Geim, Marcin Kalinowski, Sophie H. Li, Tom Manovitz, Jesse Amato-Grill, James I. Basham, Liane Bernstein, Boris Braverman, Alexei Bylinskii, Adam Choukri, Robert DeAngelo, Fang Fang, Connor Fieweger, Paige Frederick, David Haines, Majd Hamdan, Julian Hammett, Ning Hsu, Ming-Guang Hu, Florian Huber, Ningyuan Jia, Dhruv Kedar, Milan Kornjača, Fangli Liu, John Long, Jonathan Lopatin, Pedro L. S. Lopes, Xiu-Zhe Luo, Tommaso Macrì, Ognjen Marković, Luis A. Martínez-Martínez, Xianmei Meng, Stefan Ostermann, Evgeny Ostroumov, David Paquette, Zexuan Qiang, Vadim Shofman, Anshuman Singh, Manuj Singh, Nandan Sinha, Henry Thoreen, Noel Wan, Yiping Wang, Daniel Waxman-Lenz, Tak Wong, Jonathan Wurtz, Andrii Zhdanov, Laurent Zheng, Markus Greiner, Alexander Keesling, Nathan Gemelke, Vladan Vuletić, Takuya Kitagawa, Sheng-Tao Wang, Dolev Bluvstein, Mikhail D. Lukin, Alexander Lukin, Hengyun Zhou*, Sergio H. Cantú*. Experimental demonstration of logical magic state distillation. Nature 645, 620–625 (2025).
Chen Zhao, Xiao-Shan Gao. Analyzing the barren plateau phenomenon in training quantum neural networks with the ZX-calculus. Quantum 5, 466 (2021).
近期预印本
Refaat Ismail*, Milan Kornjača*, Hong-Ye Hu, Nishad Maskara, Sheng-Tao Wang, Hengyun Zhou, Chen Zhao*. Fast and Parallel High-Rate STAR Architecture for Megaquop Quantum Simulation. arXiv:2606.25011 (2026).
Chen Zhao*, Casey Duckering, Andi Gu, Nishad Maskara*, Hengyun Zhou*. Towards Ultra-High-Rate Quantum Error Correction with Reconfigurable Atom Arrays. arXiv:2604.16209 (2026).
Pengyu Liu, Shi Jie Samuel Tan, Eric Huang, Umut A. Acar, Hengyun Zhou, Chen Zhao*. Achieving Optimal-Distance Atom-Loss Correction via Pauli Envelope. arXiv:2603.04156 (2026).
Rafael Haenel*, Xiuzhe Luo, Chen Zhao*. Tsim: Fast Universal Simulator for Quantum Error Correction. arXiv:2604.01059 (2026).
