Kai-Xuan Huang

　　Kai-Xuan Huang, Ph.D. from Nankai University, is currently an assistant researcher in the Cloud Quantum Computing Platform (CQCP) Team at the Beijing Academy of Quantum Information Sciences (BAQIS). He is primarily responsible for the planning and operation of the team’s CQCP backend experimental platform. His research spans multi-qubit superconducting CQCP measurement and control backend construction, multi-qubit control and automated calibration tailored to quantum clouds, quantum machine learning, quantum chemistry, topological phases, and many-body physics, with extensive experience in experimental measurement and control. He has published over 20 SCI academic papers in internationally renowned journals such as Physical Review Letters, Nature Communications, Advanced Materials, npj Quantum Information, and Journal of Physical Chemistry Letters, including 7 as first/co-first author or co-corresponding author, and has applied for 4 invention patents. He participates in the National Key R&D Program “Quantum Communication and Quantum Computers” and has received funding from the 2024 National Natural Science Foundation of China Youth Science Fund and the Open Project Fund from Beijing National Laboratory for Condensed Matter Physics.

Education and Work Experience

　　2013.09–2017.06: Bachelor’s Degree in Physics, School of Physics and Optoelectronic Engineering, Xiangtan University.

　　Supervisor: Professor Chao Tang

　　2017.09–2022.06: Ph.D. in Optics, TEDA Institute of Applied Physics, Nankai University.

　　Supervisor: Professor Zhi-Bo Liu

　　2018.09–2020.09: Joint Ph.D. Training in Superconducting Quantum Computing (SQC) and Quantum Simulation, Department of Physics, Zhejiang University.

　　Co-supervisor: Professor Hao-Hua Wang

　　2020.09–2022.06: Joint Ph.D. Training in SQC and Quantum Simulation, Solid-State Quantum Information and Computing Laboratory (Q03), Institute of Physics, Chinese Academy of Sciences (IOP, CAS).

　　Co-supervisors: Researcher Fan Heng, Associate Researcher Xu Kai

　　2022.07–2024.06: Postdoctoral Fellow, CQCP Group, BAQIS.

　　Co-supervisor: Researcher Fan Heng　

　　2024.07–Present: Assistant Researcher, CQCP Group, BAQIS.

Research Directions

　　Kai-Xuan Huang is an assistant researcher in the CQCP Group at the BAQIS, led by Researcher Heng Fan (part-time, currently a researcher at the IOP, CAS, and director of the Solid-State Quantum Information and Computing Laboratory Q03), he oversees the operation of the SQC team across both the BAQIS and the IOP. Our group possesses full-chain research capabilities in SQC, having developed comprehensive hardware platforms and amassed significant measurement and control technologies and scientific achievements in recent years.

　　Our team focuses on theoretical and experimental research in SQC and the development and application of CQCPs. Our goals include increasing the number of qubits in superconducting quantum chips, establishing measurement and control systems for SQC, and leveraging these systems to advance quantum computing, quantum simulation, CQCPs, and quantum artificial intelligence. We emphasize the simulation of quantum phenomena such as quantum many-body systems, quantum phase transitions, quantum dynamics, and quantum chemistry using quantum computing methods. Our quantum computing research explores the implementation of diverse quantum algorithms, the intersection of quantum computing with machine learning and artificial intelligence, the optimization of quantum logic gates, and the realization of quantum error correction codes. Recent priorities include:

　　① Theoretical and experimental research in SQC.

　　② Advancing the development of CQCPs and integrating quantum computing systems with supercomputing and intelligent computing systems.

　　Kai-Xuan Huang’s research centers on experimental techniques and scientific advancements in SQC. He has worked on multi-qubit superconducting CQCP measurement and control system construction, multi-qubit control and automated calibration, quantum machine learning, quantum chemistry, topological phases, and many-body physics, accumulating extensive expertise in experimental measurement and control. He has published over 20 SCI papers in top-tier journals such as Physical Review Letters (3), Nature Communications (5), PRX Quantum (1), and npj Quantum Information (2), including 7 as first/co-first author or co-corresponding author, and has applied for 4 invention patents.

　　During his Ph.D., he conducted experimental research on the optical and photothermal properties of low-dimensional materials at Nankai University (J. Mater. Chem. C, 7, 5945–5953 (2019)). From September 2018 to September 2020, he underwent joint training in Professor Hao-Hua Wang’s group at Zhejiang University, collaborating on experimental research in quantum generative adversarial networks (npj Quantum Inf., 7, 165 (2021)). From September 2020 to June 2022, he was jointly trained at the Solid-State Quantum Information and Computing Laboratory (Q03), IOP, CAS, where he conducted experimental research in quantum chemistry (J. Phys. Chem. Lett., 13, 39: 9114-9121 (2022)) and led the construction of a superconducting quantum measurement and control platform capable of simultaneously controlling over 30 qubits. Using this platform, he performed experimental research on quantum simulation of topological states in a 30-qubit ladder-type sample (Nat. Commun., 14, 5433 (2023)). Since July 2022, as part of the CQCP Group at the BAQIS, he has been responsible for planning and operating the group’s experimental efforts. During this period, he led the development of an experimental measurement and control platform for SQC with the capability to synchronously control hundreds of qubits and guided interns in completing a series of measurement and control technologies and quantum simulation experiments (PRX Quantum, 6, 010325 (2025); Nat. Commun., 15, 5733 (2024); Phys. Rev. Research, 6, L032073 (2024); Appl. Phys. Lett., 124, 214001 (2024)).

　　Currently, His research directions include, but are not limited to:　

　　1. Research on High-Precision, Large-Scale, Automated Measurement and Control Platforms and Technologies for SQC:

　　Quantum computing, a national strategic technological frontier, faces a core challenge in noisy intermediate-scale quantum (NISQ) technology: balancing qubit scale expansion with control precision. Traditional methods rely on manual expertise, which is inefficient and struggles to meet the demands of systems with hundreds to thousands of qubits. While SQC offers advantages in high-precision control and scalability, large-scale integration encounters issues such as microwave crosstalk, signal distortion, and complex low-temperature wiring. Advancing high-precision, automated measurement and control technologies is critical to practical quantum computing and a pressing need for China to lead in quantum technology. Specific approaches include:

　　Low-Temperature Wiring Innovation: Replacing traditional coaxial cables with high-density flexible microstrip lines and all-optical wiring, using optical fibers and photodetectors to transmit and detect quantum signals, reducing thermal noise and wiring complexity for scalability to thousands of qubits.

　　Breakthroughs in Measurement and Control Electronics Hardware: Developing low-feedback-latency systems with dynamic feedback support, collaborating with industry partners to test and refine relevant equipment and technologies.

　　Development of Distributed, Modular Measurement and Control Software: Creating software with integrated parameter management, pulse compilation, and data visualization, supporting multi-threaded parallel control and automated task scheduling, with a user-friendly visual interface compatible with Python and C++.

　　AI-Driven High-Precision Control and Automated Calibration for Multiple Qubits: Employing reinforcement learning and adversarial learning to optimize quantum gate parameters and develop automated calibration strategies that account for topological structures and crosstalk, achieving fully autonomous calibration of multi-qubit systems.　

　　2. Multi-Type, High-Precision, Scalable Quantum Computing and Simulation:

　　Quantum simulation is a transformative tool for studying complex problems in many-body physics, high-energy physics, and material defects, though its precision and scale are limited by hardware performance. By integrating high-precision measurement and control with innovative chip architectures, the aim is to achieve breakthroughs in digital and analog quantum simulation, verifying quantum advantage and supporting practical quantum algorithms and hardware optimization. Current research includes:　

　　High-Precision Detection of Defects in Solid-State Quantum Systems: Using non-equilibrium quantum probe schemes with Bayesian estimation and neural networks to achieve multi-parameter inversion of impurity positions and field strengths, surpassing classical limits and enhancing hardware reliability assessment.

　　Lattice Gauge Theory Dynamics: Constructing high-fidelity quantum circuits to simulate quark deconfinement and string-breaking phenomena, validating gauge symmetry mechanisms.

　　Quantum Many-Body Transport and Non-Equilibrium Physics: Precisely controlling Hamiltonians to study system evolution under specific initial states and non-equilibrium conditions, exploring transport laws, Hilbert space fragmentation, and the quantum Mpemba effect.　　

　　3. Design and Construction of Heterogeneous Computing Software and Hardware Architectures for "Quantum-Super-Intelligent" Integration:

　　As quantum computing, supercomputing, and intelligent computing advance, a single paradigm cannot address complex practical application needs. This research focuses on building an efficient, flexible, and scalable heterogeneous computing architecture that leverages the strengths of all three domains. Efforts include:

　　Hardware Level: Designing an interconnection architecture for quantum, supercomputing, and intelligent computing units with low-latency, high-bandwidth communication.

　　Software Level: Developing a unified programming model and operating system for dynamic task scheduling and optimization across heterogeneous units.

　　Proposing solutions for quantum error correction, supercomputing energy efficiency, and intelligent computing resource scheduling, validated through simulation and experiments, to create a comprehensive “quantum-super-intelligent” system.　

Publications

　　He has published over 20 SCI papers and applied for 4 invention patents, spanning optics, low-dimensional materials, quantum computing, and quantum simulation, including 3 in Physical Review Letters, 5 in Nature Communications, 1 in PRX Quantum, 2 in npj Quantum Information, and 2 in the Journal of Physical Chemistry Letters.

For a complete list of publications and citations, see:

　　Web of Science, Google Scholar, ORCID

Selected Publications (#as a co-first author, *as a co-corresponding author):

[1] Kai-Xuan Huang^#, Zheng-An Wang^#, Chao Song^#, Kai Xu, Hekang Li, Zhen Wang, Qiujiang Guo, Zixuan Song, Zhi-Bo Liu*, Dongning Zheng, Dong-Ling Deng*, H. Wang, Jian-Guo Tian, Heng Fan*, Quantum generative adversarial networks with multiple superconducting qubits, npj Quantum Inf., 7, 165 (2021). [Featured in the Research Highlights of IOP (2021, Issue 93)].

[2] Zhong-Cheng Xiang^#, Kai-Xuan Huang^#, Yu-Ran Zhang^#, Tao Liu, Yun-Hao Shi, Cheng-Lin Deng, Tong Liu, Hao Li, Gui-Han Liang, Zheng-Yang Mei, Haifeng Yu, Guangming Xue, Ye Tian, Xiaohui Song, Zhi-Bo Liu, Kai Xu*, Dongning Zheng, Franco Nori*, Heng Fan*, Simulating Chern insulators on a superconducting quantum processor, Nat. Commun., 14, 5433 (2023). [Featured in the Research Highlights of IOP (2023, Issue 88) and BAQIS (September 20, 2023)].

[3] Kai-Xuan Huang^#, Xiao-Xia Cai^#, Hao Li^#, Zi-Yong Ge, Rui-Juan Hou, He-Kang Li, Tong Liu, Yun-Hao Shi, Chi-Tong Chen, Dong-Ning Zheng, Kai Xu*, Zhi-Bo Liu*, Zhen-Dong Li*, Heng Fan*, and Wei-Hai Fang. Variational Quantum Computation of Molecular Linear Response Properties on a Superconducting Quantum Processor. J. Phys. Chem. Lett., 13, 39, 9114-9121 (2022).

[4] Kai-Xuan Huang, Xiao-Guang. Gao, Bing-Jie Hao, Xiu-Xian Zhou, Zhan Li, Bao-wang Su, Xiao-Kuan Li, Guo-Xing Chen, Rong-Hui Luo, Zhi-Bo Liu*, and Jian-Guo Tian*, Anisotropic imaging for the highly efficient crystal orientation determination of two-dimensional materials. J. Mater. Chem. C, 7, 5945–5953 (2019).

[5] Yun-Hao Shi^#, Zheng-Hang Sun^#, Yong-Yi Wang^#, Zheng-An Wang, Yu-Ran Zhang, Wei-Guo Ma, Hao-Tian Liu, Kui Zhao, Jia-Cheng Song, Gui-Han Liang, Zheng-Yang Mei, Jia-Chi Zhang, Hao Li, Chi-Tong Chen, Xiaohui Song, Jieci Wang, Guangming Xue, Haifeng Yu, Kai-Xuan Huang*, Zhongcheng Xiang*, Kai Xu*, Dongning Zheng, and Heng Fan*. Probing spin hydrodynamics on a superconducting quantum simulator. Nat. Commun., 15, 7573 (2024). [Featured in the Research Highlights of IOP (2024, Issue 101) and BAQIS (September 5, 2024)].

[6] Yong-Yi Wang^#, Yun-Hao Shi^#, Zheng-Hang Sun^#, Chi-Tong Chen, Zheng-An Wang, Kui Zhao, Hao-Tian Liu, Wei-Guo Ma, Ziting Wang, Hao Li, Jia-Chi Zhang, Yu Liu, Cheng-Lin Deng, Tian-Ming Li, Yang He, Zheng-He Liu, Zhen-Yu Peng, Xiaohui Song, Guangming Xue, Haifeng Yu, Kai-Xuan Huang*, Zhongcheng Xiang*, Dongning Zheng, Kai Xu*, and Heng Fan*, Exploring Hilbert-Space Fragmentation on a Superconducting Processor, PRX Quantum, 6, 010325 (2025). [Featured in the Research Highlights of IOP (2025, Issue 18) and BAQIS (February 27, 2025)].

[7] Zi-Ting Wang^#, Rui-Xia Wang^#, Peng Zhao, Zhao-Hua Yang, Kai-Xuan Huang*, Kai Xu, Yong-Sheng Zhang*, Heng Fan, Shi-Ping Zhao, Meng-Jun Hu*, and Hai-Feng Yu. Demonstration of Maxwell Demon-assistant Einstein-Podolsky-RosenSteering via Superconducting Quantum Processor. Phys. Rev. Res., 6, L032073 (2024). [Featured in the Research Highlights of BAQIS (October 09, 2024)].

[8] Yun-Hao Shi^#, Yu Liu^#, Yu-Ran Zhang^#, Zhongcheng Xiang#, Kai-Xuan Huang, Tao Liu, Yong-Yi Wang, Jia-Chi Zhang, Cheng-Lin Deng, Gui-Han Liang, Zheng-Yang Mei, Hao Li, Tian-Ming Li, Wei-Guo Ma, Hao-Tian Liu, Chi-Tong Chen, Tong Liu, Ye Tian, Xiaohui Song, S. P. Zhao, Kai Xu*, Dongning Zheng*, Franco Nori*, Heng Fan*, Quantum simulation of topological zero modes on a 41-qubit superconducting processor, Phys. Rev. Lett., 131, 080401 (2023). [Featured in the Research Highlights of IOP (2023, Issue 80) and BAQIS (August 30, 2023)].

[9] Hao Li^#, Yong-Yi Wang^#, Yun-Hao Shi, Kai-Xuan Huang, Xiaohui Song, Gui-Han Liang, Zheng-Yang Mei, Bozhen Zhou, He Zhang, Jia-Chi Zhang, Shu Chen, Shiping Zhao, Ye Tian, Zhan-Ying Yang, Zhongcheng Xiang, Kai Xu*, Dongning Zheng*, Heng Fan*, Observation of critical phase transition in a generalized Aubry-André-Harper model on a superconducting quantum processor with tunable couplers, npj Quantum Inf., 9, 40 (2023). [Featured in the Research Highlights of IOP (2023, Issue 36) and BAQIS (May 11, 2023)].

[10] Tong Liu, Shang Liu, He-Kang Li, Hao Li, Kai-Xuan Huang, Zhong-Cheng Xiang, Xiao-Hui Song, Kai Xu*, Dong-Ning Zheng, and Heng Fan*. Observation of entanglement transition of pseudo-random mixed states. Nat. Commun., 14, 1971 (2023). [Featured in the Research Highlights of IOP (2023, Issue 28) and BAQIS (April 19, 2023)].　

[11] Hong-Ze Xu^#, Wei-Feng Zhuang^#, Zheng-An Wang, Kai-Xuan Huang, Yun-Hao Shi, Wei-Guo Ma, Tian-Ming Li, Chi-Tong Chen, Kai Xu, Yu-Long Feng, Pei Liu, Mo Chen, Shang-Shu Li, Zhi-Peng Yang, Chen Qian, Yu-Xin Jin, Yun-Heng Ma, Xiao Xiao, Peng Qian, Yan-Wu Gu, Xu-Dan Chai, Ya-Nan Pu, Yi-Peng Zhang, Shi-Jie Wei, Jin-Feng Zeng, Hang Li, Gui-Lu Long, Yi-Rong Jin, Hai-Feng Yu, Heng Fan, Dong E. Liu, and Meng-Jun Hu*. Quafu-Qcover: Explore combinatorial optimization problems on cloud-based quantum computers. Chin. Phys. B, 33, 050302 (2024).

[12] Yu-Xin Jin^#, Hong-Ze Xu^#, Zheng-An Wang, Wei-Feng Zhuang, Kai-Xuan Huang, Yun-Hao Shi, Wei-Guo Ma, Tian-Ming Li, Chi-Tong Chen, Kai Xu, Yu-Long Feng, Pei Liu, Mo Chen, Shang-Shu Li, Zhi-Peng Yang, Chen Qian, Yun-Heng Ma, Xiao Xiao, Peng Qian, Yan-Wu Gu, Xu-Dan Chai, Ya-Nan Pu, Yi-Peng Zhang, Shi-Jie Wei, Jin-Feng Zeng, Hang Li, Gui-Lu Long, Yi-Rong Jin, Hai-Feng Yu, Heng Fan, Dong E. Liu, and Meng-Jun Hu*. Quafu-RL: The cloud quantum computers based quantum reinforcement learning. Chin. Phys. B, 33, 050301 (2024).　

[13] Zhao-Hua Yang^#, Rui-Xia Wang^#, Zi-Tong Wang, Peng Zhao, Kai-Xuan Huang, Kai Xu, Ye Tian, Hai-Feng Yu, and Shi-Ping Zhao. Mitigation of microwave crosstalk with parameterized single-qubit gate in superconducting quantum circuits. Appl. Phys. Lett., 124, 214001 (2024). editor's pick.

[14] Yun-Hao Shi^#, Run-Qiu Yang^#, Zhong-Cheng Xiang^#, Zi-Yong Ge, Hao Li, Yong-Yi Wang, Kai-Xuan Huang, Ye Tian, Xiao-Hui Song, Dong-Ning Zheng, Kai Xu*, Rong-Gen Cai*, and Heng Fan*. Quantum simulation of Hawking radiation and curved spacetime with a superconducting on-chip black hole. Nat. Commun., 14, 3263 (2023). [Featured in the Research Highlights of IOP (2023, Issue 50) and BAQIS (June 16, 2023)].　

[15] Yu Liu^#, Yu-Ran Zhang^#, Yun-Hao Shi, Tao Liu, Congwei Lu, Yong-Yi Wang, Hao Li, Tian-Ming Li, Cheng-Lin Deng, Si-Yun Zhou, Tong Liu, Jia-Chi Zhang, Gui-Han Liang, Zheng-Yang Mei, Wei-Guo Ma, Hao-Tian Liu, Zheng-He Liu, Chi-Tong Chen, Kai-Xuan Huang, Xiaohui Song, SP Zhao, Ye Tian, Zhongcheng Xiang*, Dongning Zheng, Franco Nori, Kai Xu*, Heng Fan*, Interplay between disorder and topology in Thouless pumping on a superconducting quantum processor, Nat. Commun., 16, 108 (2025). [Featured in the Research Highlights of IOP (2025, Issue 8) and BAQIS (February 5, 2025)].

[16] Cheng-Lin Deng^#, Yu Liu^#, Yu-Ran Zhang^#, Xue-Gang Li, Tao Liu, Chi-Tong Chen, Tong Liu, Cong-Wei Lu, Yong-Yi Wang, Tian-Ming Li, Cai-Ping Fang, Si-Yun Zhou, Jia-Cheng Song, Yue-Shan Xu, Yang He, Zheng-He Liu, Kai-Xuan Huang, Zhong-Cheng Xiang, Jie-Ci Wang, Dong-Ning Zheng, Guang-Ming Xue, Kai Xu*, H. F. Yu*, Heng Fan*, High-order topological pumping on a superconducting quantum simulator, Phys. Rev. Lett., 133, 140402 (2024). [Featured in the Research Highlights of IOP (2024, Issue 117) and BAQIS (October 5, 2025)].　　

[17] Kai Xu^#, Yu-Ran Zhang^#, Zheng-Hang Sun^#, Hekang Li, Pengtao Song, Zhongcheng Xiang, Kai-Xuan Huang, Hao Li, Yun-Hao Shi, Chi-Tong Chen, Xiaohui Song, Dongning Zheng, Franco Nori*, H. Wang*, and Heng Fan*, Metrological characterization of non-Gaussian entangled states of superconducting qubits, Phys. Rev. Lett., 128, 150501 (2022). [Featured in the Research Highlights of IOP (2021, Issue 93)].

[18] Su-Yun Wang, Kai-Xuan Huang, Qin-Qin Guo, Hao-Wei Guo, Jian-Guo Tian*, and Zhi-Bo Liu*, Tunable Optical Rotation in Twisted Black Phosphorus. J. Phys. Chem. Lett., 12, 4755 (2021).

[19] Su-Yun Wang, Guo-Xing Chen, Qin-Qin Guo, Kai-Xuan Huang, Xi-Lin Zhang, Xiao-Qing Yan, Zhi-Bo Liu*, and Jian-Guo Tian*. Layer contribution to optical signals of van der Waals heterostructures. Nanoscale Adv., 3, 3114 (2021).

[20] Chang-Fu Huo, Rui Wen, Xiao-Qing Yan, De-Kang Li, Kai-Xuan Huang, Yi-Zhi Zhu, Qian-Nan Cui, Chun-Xiang Xu, Zhi-Bo Liu*, and Jian-Guo Tian*. Thickness-dependent ultrafast charge-carrier dynamics and coherent acoustic phonon oscillations in mechanically exfoliated PdSe₂ flakes. Phys. Chem. Chem. Phys., 23, 20666 (2021).

[21] Bao-Wang Su, Bin-Wei Yao, Xi-Lin Zhang, Kai-Xuan Huang, De-Kang Li, Hao-Wei Guo, Xiao-Kuan Li, Xu-Dong Chen, Zhi-Bo Liu*, and Jian-Guo Tian*. A gate-tunable symmetric bipolar junction transistor fabricated via femtosecond laser processing. Nanoscale Adv., 2, 1733 (2020).　

[22] Xiao-Kuan Li, Xiao-Guang Gao, Bao-Wang Su, Wei Xin, Kai-Xuan Huang, Xiao-Qiang Jiang, Zhi-Bo Liu*, and Jian-Guo Tian*. Polarization-Dependent Photocurrent of Black Phosphorus/Rhenium Disulfide Heterojunctions. Adv. Mater. Interfaces, 5, 22, 1800960 (2018).

[23] Xiao-Guang Gao, Wen-Shuai Jiang, Guo-Xing Chen, Xiao-Kuan Li, De-Kang Li, Kai-Xuan Huang, Wei Xin, Zhi-Bo Liu* and Jian-Guo Tian*. Adv. Mater. Interfaces, 5, 8, 1701605 (2018).

[24] Wei-Qi Gao, Guo-Liang Zhou, Jin Li, Tao Chen, Bo Li, Xing-Cheng Xiao, Yan Li, Kai-Xuan Huang, Si Xiao, and Guo-Lin Hao*. Controllable epitaxial growth of GeSe2 nanostructures and nonlinear optical properties. Nanotechnology. 32, 465704 (2021).

[25] Wei Xin, Xiao-Kuan Li, Xin-Ling He, Bao-Wang Su, Xiao-Qiang Jiang, Kai-Xuan Huang, Xiang-Feng Zhou, Zhi-Bo Liu*, Jian-Guo Tian*. Black-Phosphorus-Based Orientation-Induced Diodes. Adv. Mater., 30, 2, 1704653 (2018).

[26] Yongchun Xu, Zengtao Kuang, Qun Huang, Jie Yang, Hamid Zahrouni, Michel Potier-Ferry, Kai-Xuan Huang, Jia-Chi Zhang, Heng Fan, Heng Hu. A robust quantum nonlinear solver based on the asymptotic numerical method. arXiv preprint, arXiv:2412.03939 (2024).　

[27] Z. T. Wang, Qiuhao Chen, Yuxuan Du, Z. H. Yang, Xiaoxia Cai, Kai-Xuan Huang, Jingning Zhang, Kai Xu, Jun Du, Yinan Li, Yuling Jiao, Xingyao Wu, Wu Liu, Xiliang Lu, Huikai Xu, Yirong Jin, Ruixia Wang, Haifeng Yu, S. P. Zhao. Quantum Compiling with Reinforcement Learning on a Superconducting Processor. arXiv preprint, arXiv:2406.12195 (2024).

[28] Tian-Ming Li^#, Jia-Chi Zhang^#, Bing-Jie Chen^#, Kai-Xuan Huang, Hao-Tian Liu, Yong-Xi Xiao, Cheng-Lin Deng, Gui-Han Liang, Chi-Tong Chen, Yu Liu, Hao Li, Zhen-Ting Bao, Kui Zhao, Yueshan Xu, Li Li, Yang He, Zheng-He Liu, Yi-Han Yu, Si-Yun Zhou, Yan-Jun Liu, Xiaohui Song, Dongning Zheng, Zhong-Cheng Xiang, Yun-Hao Shi*, Kai Xu*, Heng Fan*. High-precision pulse calibration of tunable couplers for high-fidelity two-qubit gates in superconducting quantum processors. Phys. Rev. Applied 23, 024059 (2025).

[29] Hao-Tian Liu^#, Bing-Jie Chen^#, Jia-Chi Zhang^#, Yong-Xi Xiao, Tian-Ming Li, Kai-Xuan Huang, Ziting Wang, Hao Li, Kui Zhao, Yueshan Xu, Cheng-Lin Deng, Gui-Han Liang, Zheng-He Liu, Si-Yun Zhou, Cai-Ping Fang, Xiaohui Song, Zhongcheng Xiang, Dongning Zheng, Yun-Hao Shi*, Kai Xu*, Heng Fan*. Direct Implementation of High-Fidelity Three-Qubit Gates for Superconducting Processor with Tunable Couplers. arXiv preprint, arXiv:2501.18319 (2025).

[30] 刘智波，黄凯旋（学生一作），田建国。发明专利，一种低维材料各向异性显微的成像方法和装置。申请号：CN201811272361.6，公开号：CN109342325A.，2018。

[31] 黄凯旋，马卫国，时运豪，许凯，范桁。发明专利，一种超导量子比特的参数标定方法、设备和存储介质，申请号：202410138723.1，公布号：CN 118095470 A，2024。

[32] 赵魁，李金涛，方才平，梁珪涵，王子婷，王正安，黄凯旋，许凯，范桁。用于量子测量系统的优化方法、电子设备及存储介质，申请号：202510080487.7，2025。

[33] 张翼鹏，王正安，马运恒，郭学仪，黄凯旋。发明专利，基于大语言模型检索增强生成技术的量子计算程序自动生成方法和装置，申请号：202411151650.6，2024。

[34] 中国科学院物理研究所，北京量子信息科学研究院，稀释制冷机温度压力监控软件 V1.0. 登记号：2024SR1260882. 2024。

Projects and Grants

　　◇ National Natural Science Foundation of China Youth Science Fund Project (C Class), “Research on SQC Measurement and Control Technologies and Quantum Simulation,” 2025.01.01–2027.12.31, Project No. 12404578, ongoing, principal investigator.

　　◇ Open Project Foundation of Beijing National Laboratory for Condensed Matter Physics, “High-Precision Control and Defect Detection in Solid-State Quantum Systems,” 2025.01.01–2026.12.31, Project No. 2024BNLCMPKF022, ongoing, principal investigator.

　　◇ National Key R&D Program “Quantum Communication and Quantum Computers,” Sub-project: “Implementation of High-Fidelity Quantum Logic Gates and Measurement and Control,” 2021.11.01–2026.10.30, Project No. 2021ZD0301800, ongoing, participant.