Andi Gu

PhD student at Harvard University in the Quantum Science and Engineering program. I work at the intersection of machine learning and quantum computation — using ML to build scalable decoders, discover better fault-tolerance schemes, and design quantum algorithms — with a broader interest in the role of complexity in quantum information.

Publications

  1. N. Romanov, P. Ivashkov, W. Gong, I. Kannan, A. Gu, H.-Y. Hu, S. F. Yelin. "Learning Arbitrary Lindbladians with Quantum Error Correction." arXiv:2606.18188, 2026.
  2. C. Zhao, C. Duckering, A. Gu, N. Maskara, H. Zhou. "Towards Ultra-High-Rate Quantum Error Correction with Reconfigurable Atom Arrays." arXiv:2604.16209, 2026.
  3. A. Gu, J. P. B. Ataides, M. D. Lukin, S. F. Yelin. "Scalable Neural Decoders for Practical Fault-Tolerant Quantum Computation." arXiv:2604.08358, 2026. [project page] [QEC 2026 talk] [ICML 2026 AI4Science oral]
  4. V. Menon, J. P. B. Ataides, R. Mehta, A. Gu, D. B. Tan, M. D. Lukin. "Magic Tricycles: Efficient Magic-State Generation with Finite Block-Length Quantum LDPC Codes." Physical Review X, vol. 16, no. 2, 2026. [TQC 2026 talk] [QEC 2026 talk]
  5. A. Gu, L. Leone, K. Goodenough, S. Khatri. "Constant Overhead Entanglement Distillation via Scrambling." Physical Review Letters, vol. 136, 2026. [TQC 2026 talk]
  6. D. Bluvstein, A. A. Geim, S. H. Li, S. J. Evered, J. P. B. Ataides, G. Baranes, A. Gu, T. Manovitz, M. Xu, M. Kalinowski, S. Majidy, C. Kokail, N. Maskara, E. C. Trapp, L. M. Stewart, S. Hollerith, H. Zhou, M. J. Gullans, S. F. Yelin, M. Greiner, V. Vuletic, M. Cain, M. D. Lukin. "A fault-tolerant neutral-atom architecture for universal quantum computation." Nature, 2025.
  7. A. Gu*, S. Jordan. "Algebraic Geometry Codes and Decoded Quantum Interferometry." arXiv:2510.06603, 2025.
  8. J. P. B. Ataides*, A. Gu*, S. F. Yelin, M. D. Lukin. "Neural Decoders for Universal Quantum Algorithms." arXiv:2509.11370, 2025. [Unitary Fund grant]
  9. A. Gu, S. Oliviero, L. Leone. "Magic-induced computational separation in entanglement theory." Physical Review X Quantum, vol. 6, no. 2, 2025. [QIP 2025 talk] [Unitary Fund grant]
  10. H. Hu*, A. Gu*, S. Majumder*, H. Ren, Y. Zhang, D. Wang, Y. You, Z. Minev, S. Yelin, A. Seif. "Demonstration of Robust and Efficient Quantum Property Learning with Shallow Shadows." Nature Communications, vol. 16, no. 1, 2025.
  11. A. Gu, S. Oliviero, L. Leone. "Doped stabilizer states in many-body physics and where to find them." Physical Review A, vol. 110, no. 6, 2024.
  12. A. Gu, Y. Quek, S. Yelin, J. Eisert, L. Leone. "Simulating quantum chaos without chaos." arXiv:2410.18196, 2024.
  13. V. Menon*, A. Gu*, R. Movassagh. "Symmetries, correlation functions, and entanglement of general quantum Motzkin spin-chains." arXiv:2408.16070, 2024. [QIP 2025 talk]
  14. A. Gu, H. Hu, D. Luo, T. Patti, N. Rubin, S. Yelin. "Zero and Finite Temperature Quantum Simulations Powered by Quantum Magic." Quantum, vol. 8, 2024.
  15. A. Gu, L. Leone, S. Ghosh, J. Eisert, S. Yelin, Y. Quek. "Pseudomagic Quantum States." Physical Review Letters, vol. 132, no. 21, 2024. [Editors' suggestion] [AQIS 2024 long talk]
  16. A. Gu, L. Cincio, P.J. Coles. "Practical Hamiltonian Learning with Unitary Dynamics and Gibbs States." Nature Communications, vol. 15, no. 1, 2024.
  17. A. Gu, X. Huang, W. Sheu, G. Aldering, A. S. Bolton, K. Boone, A. Dey, A. Filipp, E. Jullo, S. Perlmutter, D. Rubin, E. F. Schlafly, D. J. Schlegel, Y. Shu, S. H. Suyu. "GIGA-Lens: Fast Bayesian Inference for Strong Gravitational Lens Modeling." The Astrophysical Journal, vol. 935, no. 1, 2022.
  18. A. Gu, A. Lowe, P. Dub, P. Coles, A. Arrasmith. "Adaptive Shot Allocation for Fast Convergence in Variational Quantum Algorithms." arXiv:2108.10434, 2021.

* denotes equal contributions

Selected Talks

  • Scalable Neural Decoders for Practical Fault-Tolerant Quantum Computation - USYD-PsiQ Fault Tolerance Seminar (May 2026)
  • Scalable Neural Decoders for Practical Fault-Tolerant Quantum Computation - QEC Journal Club, University of Edinburgh (May 2026)
  • t-doped Entanglement - Phasecraft, London UK (May 2025)
  • Quantum Motzkin spin-chains: exact results and classical simulation - Google Quantum AI Tensor Network Seminar (November 2024)
  • Practical Black Box Hamiltonian Learning - QAISIG QML Seminar, Singapore (April 2024)
  • Entanglement meets Magic - Qiskit Seminar (March 2024)
  • Pseudomagic Quantum States - QIP 2024, Taipei (January 2024)
  • GIGA-Lens: A Fast Differentiable Bayesian Lens Modeling Framework - KIPAC Cosmology Seminar, Stanford (April 2022)