Zhide Lu (鲁智德)

About Me

I am currently a Researcher at the Shanghai Qi Zhi Institute. I received my Ph.D. from the Center for Quantum Information at IIIS, Tsinghua University. My research focuses on quantum error correction, driven by the ultimate goal of realizing practical, large-scale fault-tolerant quantum computation.

Experience

Education

Research direction

• Low-overhead quantum error correction: Design and experimental demonstration of quantum low-density parity-check (qLDPC) codes for high-threshold error suppression with reduced physical overhead.
• Hardware-software co-design: Co-optimization of code architecture, topological mapping, and long-range coupler layout on superconducting processors to enable practical implementations of advanced QEC schemes.
• Real-time decoding and feedback: Development of high-throughput, low-latency decoders and FPGA-based control systems for microsecond-scale closed-loop quantum error correction.
• Fault-tolerant logical operations: Resource-efficient implementations of logical gates, lattice surgery, and magic state distillation tailored to high-rate qLDPC codes.

Selected Publications

(* indicates co-first authors, † indicates corresponding authors)

• Demonstration of low-overhead quantum error correction codes
  Ke Wang*, Zhide Lu*, Chuanyu Zhang*, Chao Song†, Zhen Wang†, Dong-Ling Deng†, et al.
  Nature Physics 22, 308–314 (2026)
• Experimental demonstration of quantum continual learning with superconducting qubits
  Chuanyu Zhang*, Zhide Lu*, Liangtian Zhao*, Jie Hao†, Dong-Ling Deng†, Chao Song†, et al.
  npj Quantum Information 12, 28 (2026)
• Non-Hermitian Fermi-Dirac Distribution in Persistent Current Transport
  Pei-Xin Shen, Zhide Lu, Jose L. Lado, and Mircea Trif†
  Phys. Rev. Lett. 133, 086301 (2024)
• Expressibility-induced concentration of quantum neural tangent kernels
  Li-Wei Yu†, Weikang Li, Qi Ye, Zhide Lu, Zizhao Han, Dong-Ling Deng†
  Rep. Prog. Phys. 87, 110501 (2024) | arXiv:2311.04965 (2023)
• Deep quantum neural networks on a superconducting processor
  Xiaoxuan Pan*, Zhide Lu*, Dong-Ling Deng†, Luyan Sun†, et al.
  Nat. Commun. 14, 4006 (2023)
• Quantum continual learning overcoming catastrophic forgetting
  Wenjie Jiang, Zhide Lu, and Dong-Ling Deng†
  Chinese Phys. Lett. 39 050303 (2022)
• Quantum neural network classifiers: A tutorial
  Weikang Li†, Zhide Lu, and Dong-Ling Deng†
  SciPost Phys. Lect. Notes 61 (2022)
• Markovian Quantum Neuroevolution for Machine Learning
  Zhide Lu*, Pei-Xin Shen*, and Dong-Ling Deng†
  Phys. Rev. Applied 16, 044039 (2021)
• Adversarial learning in quantum artificial intelligence
  Pei-Xin Shen, Wenjie Jiang, Weikang Li, Zhide Lu, and Dong-Ling Deng†
  Acta Phys. Sin., 2021, 70: 140302 (2021)